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Approved for public release; distribution in unlimited. / In this thesis, a performance analysis and improvement of a phase sampling interferometer antenna system based on the Robust Symmetrical Number System (RSNS) in the presence of noise is investigated. Previous works have shown that the RSNS-based DF technique can provide high bearing resolution with a minimum number of antenna elements. However, the previous experimental data showed significant deviation from the theoretical results expected due to imperfections, errors, and noise. Therefore, an additive Gaussian noise model of RSNS-based DF was established and simulated. Simulation results show that the presence of noise distorts the signal amplitudes used in the RSNS processor and causes degradation of the angle-ofarrival estimates. A performance analysis was undertaken by first introducing the quadrature modulation configuration into RSNS-based DF system, which provided a digital antenna approach for more flexibility in the signal processing. With a digital approach, variable resolution signal preprocessing can be employed, using a virtual channel concept. The virtual channel concept changes moduli values without changing the actual physical antenna element spacing. This attractive property allows the RSNS algorithm to be implemented into existing antenna arrays and only requires modifying the antenna signal processor. Computer simulation results showed that the proposed method can successfully improve the system performance and also mitigate the effects of noise. / Captain, Taiwan Army

Submitted by Paulo Sérgio de Oliveira Júnior null (psergio.jr@hotmail.com) on 2017-11-17T14:41:41Z No. of bitstreams: 1 d_oliveira-jr_ps_thesis.pdf: 14260833 bytes, checksum: ebcb000a304456bb9bc42d8d1ccaa566 (MD5) / Approved for entry into archive by LUIZA DE MENEZES ROMANETTO (luizamenezes@reitoria.unesp.br) on 2017-11-17T17:10:17Z (GMT) No. of bitstreams: 1 oliveirajunior_ps_dr_prud.pdf: 14260833 bytes, checksum: ebcb000a304456bb9bc42d8d1ccaa566 (MD5) / Made available in DSpace on 2017-11-17T17:10:17Z (GMT). No. of bitstreams: 1 oliveirajunior_ps_dr_prud.pdf: 14260833 bytes, checksum: ebcb000a304456bb9bc42d8d1ccaa566 (MD5) Previous issue date: 2017-09-05 / Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq) / PPP (Precise Point Positioning) is a positioning method by GNSS (Global Navigation Satellite Systems), based on SSR (State Space Representation) concept that can provide centimeter accuracy solutions. Real-time PPP (RT-PPP) is possible thanks to the availability of precise products, for orbits and clocks, provided by the International GNSS Service (IGS), as well as by its analysis centers such as CNES (Center National d'Etudes Spatiales). One of the remaining challenges on RT-PPP is the mitigation of atmospheric effects (troposphere and ionosphere) on GNSS signals. Thanks to recent improvements in atmospheric models, RT-PPP can be enhanced, allowing accuracy and centimeter initialization time, comparable to the current NRTK (Network Real-Time Kinematic) method. Such performance depends on topology of permanent stations networks and atmospheric conditions. The main objective of this project is to study the RT-PPP and the optimized infrastructure in terms of costs and benefits to realize the method using atmospheric corrections. Therefore, different configurations of a dense and regular GNSS network existing in France, the Orpheon network, are used. This network has about 160 sites and is owned by Geodata-Diffusion (Hexagon Geosystems). The work was divided into two main stages. Initially, ‘float PPP-RTK’ was evaluated, it corresponds to RT-PPP with improvements resulting from network corrections, although with ambiguities kept float. Further on, network corrections are applied to improve “PPP-RTK” where ambiguities are fixed to their integer values. For the float PPP-RTK, a modified version of the RTKLib 2.4.3 (beta) package is used to take into account for the network corrections. First-order ionospheric effects were eliminated by the iono-free combination and zenith tropospheric delay estimated. The corrections were applied by introducing a priori constrained tropospheric parameters. Periods with different tropospheric conditions were chosen to carry out the study. Adaptive modeling based on OFCs (Optimal Fitting Coefficients) has been developed to describe the behavior of the troposphere, using estimates of tropospheric delays for Orpheon stations. This solution allows one-way communication between the server and the user. The quality of tropospheric corrections is evaluated by comparison to external tropospheric products. The gains achieved in convergence time to 10 centimeters accuracy were statistically quantified. Network topology was assessed by reducing the number of reference stations (up to 75%) using a sparse Orpheon network configuration to perform tropospheric modeling. This did not degrade the tropospheric corrections and similar performances were obtained on the user side. In the second step, PPP-RTK is realized using the PPP-Wizard 1.3 software and CNES real-time products for orbits, clocks and phase biases of satellites. RT-IPPP (Real-Time Integer PPP) is performed with estimation of tropospheric and ionospheric delays. Ionospheric and tropospheric corrections are introduced as a priori parameters constrained to the PPP-RTK of the user. To generate ionospheric corrections, it was implemented a solution aligned with RTCM (Real-Time Maritime Services) conventions, regarding the transmission of ionospheric parameters SSR, which is a standard Inverse Distance Weighting (IDW) algorithm. The choice of the periods for this experiment was made mainly with respect to the ionospheric activity. The comparison of the atmospheric corrections with the external products and the evaluation of different network topologies (dense and sparse) were also carried out in this stage. Statistically, the standard RT-IPPP takes ~ 25 min to achieve a 10 cm horizontal accuracy, which is significantly improved by our method: 46% (convergence in 14 min) with dense network corrections and 24% (convergence in 19 min) with the sparse network. Nevertheless, vertical positioning sees its convergence time slightly increased, especially when corrections are used from a sparse network solution. However, improvements in horizontal positioning due to external SSR corrections from a (dense or sparse) network are promising and may be useful for applications that depend primarily on horizontal positioning. / O PPP (Precise Point Positioning) é um método de posicionamento pelo GNSS (Global Navigation Satellite Systems), baseado no conceito SSR (State Space Representation) o qual pode fornecer soluções de acurácia centimétrica. O PPP em tempo real (RT-PPP) é possível graças à disponibilidade de produtos precisos, para órbitas e relógios, fornecidos pelo IGS (International GNSS Service), bem como por seus centros de análise, como o CNES (Centre National d’Etudes Spatiales). Um dos desafios restantes no RT-PPP é a mitigação dos efeitos atmosféricos (troposfera e ionosfera) nos sinais GNSS. Graças às melhorias recentes nos modelos atmosféricos, o RT-PPP pode ser aprimorado, permitindo tempo de inicialização com acurácia centimétrica, comparável ao atual método NRTK (Network Real-Time Kinematic). Esse desempenho depende da topologia das redes de estações permanentes e das condições atmosféricas. O objetivo principal deste projeto é estudar o RT-PPP e a infraestrutura optimizada em termos de custos e benefícios para realizar o método usando correções atmosféricas. Portanto, são utilizadas diferentes configurações de uma rede GNSS densa e regular existente na França, a rede Orphéon. Esta rede tem cerca de 160 estações, sendo propriedade da Geodata-Diffusion (Hexagon Geosystems). O trabalho foi dividido em duas etapas principais. Inicialmente, foi avaliado o "float PPP-RTK", que corresponde ao RT-PPP com melhorias resultantes de correções de rede, embora mantendo as ambiguidades como float. Em um segundo momento, as correções de rede são aplicadas para aprimorar o "PPP-RTK", onde ambiguidades são fixadas para seus valores inteiros. Para o float PPP-RTK, uma versão modificada do software RTKLib 2.4.3 (beta) é empregada de modo a levar em consideração as correções de rede. Os efeitos ionosféricos de primeira ordem são eliminados pela combinação iono-free e atraso zenital troposférico é estimado. As correções são aplicadas introduzindo parâmetros troposféricos a priori injuncionados. Períodos com diferentes condições troposféricas foram escolhidos para realizar o estudo. Uma modelagem adaptativa baseada em OFCs (Optimal Fitting Coefficients) foi implementada para descrever o comportamento da troposfera, utilizando estimativas de atraso troposférico para estações da rede Orphéon. Tal solução permite a comunicação unidirecional entre o servidor e o usuário. A qualidade das correções troposféricas foi avaliada através de comparação com produtos externos troposféricos. Os ganhos alcançados no tempo de convergência para acurácia de 10 centímetros foram quantificados estatisticamente. A topologia de rede foi avaliada reduzindo o número de estações de referência (em até 75%) usando uma configuração da rede Orphéon esparsa para realizar a modelagem troposférica. Isso não degradou as correções troposféricas e foram obtidas performances similares para os usuários simulados. Na segunda etapa, o PPP-RTK é realizado usando o software PPP-Wizard 1.3, bem como os produtos para tempo real do CNES de órbitas, relógios e biases de fase dos satélites. O RT-IPPP (Real-Time Integer PPP) é realizado com estimativa de atrasos troposféricos e ionosféricos. As correções ionosféricas e troposféricas são introduzidas como parâmetros a priori injuncionados no PPP-RTK do usuário. Para gerar correções ionosféricas, foi implementada uma solução alinhada com as convenções RTCM (Real-Time Maritime Services), em relação à transmissão de correções ionosféricas SSR, o qual é um algoritmo baseado na ponderação pelo inverso da distância (IDW – Inverse Distance Weighting). A escolha dos períodos para este experimento foi realizada principalmente em relação à atividade ionosférica. A comparação das correções atmosféricas com produtos externos, assim como a avaliação de diferentes topologias de rede (densa e esparsa) também foram realizadas nesta etapa. Estatisticamente, o RT-IPPP padrão leva ~ 25 min para alcançar uma acurácia horizontal de 10 cm, a qual é significativamente melhorada pelo método implementado: 46% (convergência em 14 min) com correções de rede densa e 24% (convergência em 19 min) com a rede esparsa. No entanto, o posicionamento vertical vê o seu tempo de convergência ligeiramente aumentado, especialmente quando as correções são usadas a partir de uma solução de rede esparsa. No entanto, as melhorias no posicionamento horizontal com o uso das correções de SSR externas de uma rede (densa ou esparsa) são promissoras e podem ser úteis para aplicações que dependem principalmente do posicionamento horizontal. / Le PPP (Precise Point Positioning) est une méthode de positionnement par GNSS (Global Navigation Satellite Systems), basée sur le concept SSR (State Space Representation), qui peut générer solutions de précision centimétrique. Le PPP en temps réel (RT-PPP) est possible grâce à la disponibilité des produits précis, pour les orbites et horloges, fournis par l’IGS (International GNSS Service), ainsi que par ses centres d'analyse, tels que le CNES (Centre National d'Etudes Spatiales). Un des défis restants sur le RT-PPP est la mitigation des effets atmosphériques (troposphère et ionosphère) sur les signaux GNSS. Grâce aux améliorations récentes des modèles atmosphériques, le RT-PPP peut être amélioré, ce qui permet une précision et un temps d'initialisation au niveau du centimètre, comparables à la méthode NRTK (Network Real-Time Kinematic) actuelle. De telles performances dépendent de la topologie du réseau de stations GNSS permanentes et des conditions atmosphériques. L'objectif principal de ce projet est d'étudier le RT-PPP et l'infrastructure optimisée en termes de coûts et d'avantages pour réaliser la méthode en utilisant des corrections atmosphériques. Pour cela, différentes configurations d'un réseau GNSS dense et régulier existant en France, le réseau Orphéon, sont utilisées. Ce réseau compte environ 160 sites, propriété de Geodata-Diffusion (Hexagon Geosystems). Le travail est divisé en deux étapes principales. Dans un premier temps, le mode «PPP-RTK flottant» a été évalué, il correspond au RT-PPP avec des améliorations issues des corrections de réseau, mais avec les ambiguïtés flottantes. Ensuite, des corrections de réseau sont appliquées pour améliorer le mode « PPP-RTK » où les ambiguïtés sont fixées à leurs valeurs entières. Pour le PPP-RTK flottant, une version modifiée du package RTKLib 2.4.3 (beta) est utilisée pour prendre en compte les corrections réseau. Les effets ionosphériques de premier ordre ont été éliminés par la combinaison iono-free et le retard troposphérique zénithal est estimé. Les corrections ont été appliquées en introduisant des paramètres troposphériques a priori contraints. Des périodes avec différentes conditions troposphériques ont été choisies pour réaliser l'étude. Une modélisation adaptative basée sur les OFCs (Optimal Fitting Coefficients) a été mise en place pour décrire le comportement de la troposphère, en utilisant des estimations des retards troposphériques pour les stations Orphéon. Cette solution permet une communication mono-directionnelle entre le serveur et l'utilisateur. La qualité des corrections troposphériques est évaluée par comparaison avec des produits troposphériques externes. Les gains réalisés sur le temps de convergence pour obtenir un positionnement de 10 centimètres de précision ont été quantifiés statistiquement. La topologie du réseau a été évaluée, en réduisant le nombre de stations de référence (jusqu'à 75%), via une configuration de réseau Orphéon lâche pour effectuer la modélisation troposphérique. Cela n'a pas dégradé les corrections troposphériques et des performances similaires ont été obtenues du côté de l'utilisateur. Dans la deuxième étape, le PPP-RTK est réalisé grâce au logiciel PPP-Wizard 1.3 et avec les produits temps réel CNES pour les orbites, les horloges et les biais de phase des satellites. Le RT-IPPP (Real-Time Integer PPP) est réalisé avec estimation des délais troposphériques et ionosphériques. Les corrections ionosphériques et troposphériques sont introduites en tant que paramètres a priori contraints au PPP-RTK de l'utilisateur. Pour générer des corrections ionosphériques, il a été mis en place une solution alignée avec les conventions RTCM (Real-Time Maritime Services) pour la transmission des paramètres ionosphériques SSR, un algorithme standard d'interpolation à distance inversée (IDW – Inverse Distance Weighting). Le choix des périodes pour cette expérience a été fait principalement en regard de l'activité ionosphérique. La comparaison des corrections atmosphériques avec les produits externes et l'évaluation de différentes topologies de réseau (dense et lâche) ont également été effectuées dans cette étape. Statistiquement le RT-IPPP standard prend ~25 min pour atteindre une précision horizontale de 10 cm, ce que nous améliorons significativement par notre méthode : 46% (convergence en 14 min) avec le réseau dense et 24% (convergence en 19 min) avec le réseau restreint. Néanmoins le positionnement vertical voit son temps de convergence légèrement augmenté, en particulier lorsque l'on utilise des corrections à partir d'une solution de réseau lâche. Cependant, les améliorations apportées au positionnement horizontal dues aux corrections atmosphériques SSR externes provenant d’un réseau (dense ou lâche) sont prometteuses et peuvent être utiles pour les applications qui dépendent principalement du positionnement horizontal. / CNPq: 229828/2013-2

Precise Point Positioning (PPP) ermöglicht eine präzise Positionsbestimmung mittels globaler Satellitennavigationssysteme (Global Navigation Satellite System, GNSS) ohne die direkte Verwendung der Beobachtungsdaten von regionalen Referenzstationen. Die wesentlichste Einschränkung von PPP im Vergleich zu differenziellen Auswertetechniken (Real-Time Kinematic, RTK) ist die deutlich längere Konvergenzzeit. Voraussetzung für die Verkürzung der Konvergenzzeit ist die Festsetzung der geschätzten Mehrdeutigkeiten auf ganzzahlige Werte. Die Mehrdeutigkeitslösung verlangt ein robustes funktionales Modell und beruht auf einem zweistufigen Mehrdeutigkeitsfestsetzungsverfahren, welches frei von ionosphärischen Einflüssen 1. Ordnung ist. Die sowohl auf Code- als auch auf Phasenbeobachtungen basierende Melbourne-Wübbena-Linearkombination erlaubt hierbei eine einfache Festsetzung der Widelane-Mehrdeutigkeiten. Infolgedessen kann zur Berechnung der ionosphären-freien Linearkombination die im Vergleich zur Wellenlänge der ionosphären-freien Linearkombination deutlich größere Narrowlane-Wellenlänge verwendet werden. Zur Stabilisierung des im Normalfall lediglich auf den Beobachtungsdaten des amerikanischen Global Positioning System (GPS) beruhenden funktionalen Modells können die Beobachtungsdaten des russischen GLObal’naya NAvigatsioannaya Sputnikovaya Sistema (GLONASS) beitragen. Aufgrund der Technik, die GLONASS zur Identifizierung der einzelnen Satelliten einsetzt (Frequency Division Multiple Access, FDMA), unterscheiden sich die Frequenzen der einzelnen Satelliten. Die leicht unterschiedlichen Frequenzen erschweren die Modellierung und Korrektion der instrumentell bedingten Signalverzögerungen (z. B. Fractional-Cycle Biases (FCB)). Vor diesem Hintergrund kann das konventionelle Mehrdeutigkeitsfestsetzungsverfahren nur bedingt für GLONASS verwendet werden. Die Untersuchung der instrumentell bedingten GLONASS-Signalverzögerungen sowie die Entwicklung einer alternativen Methode zur Festsetzung der GLONASS-Mehrdeutigkeiten mit dem Ziel einer kombinierten GPS/GLONASS-Mehrdeutigkeitslösung sind die Schwerpunkte der vorliegenden Arbeit. Die entwickelte alternative Mehrdeutigkeitsfestsetzungsstrategie baut auf der puren Widelane-Linearkombination auf, weshalb globale Ionosphärenmodelle unabdingbar sind. Sie eignet sich sowohl für GLONASS als auch für GPS und zeigt gleichwertige Ergebnisse für beide GNSS, wenngleich im Vergleich zur konventionellen Methode mit geringeren Mehrdeutigkeitsfestsetzungsquoten zu rechnen ist. / Precise Point Positioning (PPP) allows for accurate Global Navigation Satellite System (GNSS) based positioning without the immediate need for observations collected by regional station networks. The fundamental drawback of PPP in comparison to differential techniques such as Real-Time Kinematic (RTK) is a significant increase in convergence time. Among a plurality of different measures aiming for a reduction of convergence time, fixing the estimated carrier phase ambiguities to integer values is the key technique for success. The ambiguity resolution asks for a robust functional model and rests upon a two-stage method ruling out first-order ionospheric effects. In this context the Melbourne-Wübbena linear combination of dual-frequency carrier phase and code measurements leverages a simple resolution of widelane ambiguities. As a consequence the in comparison to the wavelength of the ionosphere-free linear combination significantly longer narrowlane wavelength can be used to form the ionosphere-free linear combination. By default the applied functional model is solely based on observations of the Global Positioning System (GPS). However measurements from the GLObal’naya NAvigatsioannaya Sputnikovaya Sistema (GLONASS) can contribute to improve the model’s stability significantly. Due to the technique used by GLONASS to distinguish individual satellites (Frequency Division Multiple Access, FDMA), the signals broadcast by those satellites differ in their frequencies. The resulting slightly different frequencies constitute a barricade for both modelling and correcting any device-dependent signal delays, e.g. fractional-cycle biases (FCB). These facts limit the applicability of the conventional ambiguity-fixing approach when it comes to GLONASS signals. The present work puts a focus both on investigating the device-dependent GLONASS signal delays and on developing an alternative method for fixing GLONASS ambiguities with the ultimate objective of a combined GPS/GLONASS ambiguity resolution. The alternative ambiguity resolution strategy is based on the pure widelane linear combination, for which reason ionospheric corrections are indispensable. The procedure is applicable for GLONASS in the first instance but reveals equivalent results for both GPS and GLONASS. The disadvantage relative to the conventional approach is the reduced ambiguity fixing success rate.

Precise Point Positioning (PPP) ermöglicht eine präzise Positionsbestimmung mittels globaler Satellitennavigationssysteme (Global Navigation Satellite System, GNSS) ohne die direkte Verwendung der Beobachtungsdaten von regionalen Referenzstationen. Die wesentlichste Einschränkung von PPP im Vergleich zu differenziellen Auswertetechniken (Real-Time Kinematic, RTK) ist die deutlich längere Konvergenzzeit. Voraussetzung für die Verkürzung der Konvergenzzeit ist die Festsetzung der geschätzten Mehrdeutigkeiten auf ganzzahlige Werte. Die Mehrdeutigkeitslösung verlangt ein robustes funktionales Modell und beruht auf einem zweistufigen Mehrdeutigkeitsfestsetzungsverfahren, welches frei von ionosphärischen Einflüssen 1. Ordnung ist. Die sowohl auf Code- als auch auf Phasenbeobachtungen basierende Melbourne-Wübbena-Linearkombination erlaubt hierbei eine einfache Festsetzung der Widelane-Mehrdeutigkeiten. Infolgedessen kann zur Berechnung der ionosphären-freien Linearkombination die im Vergleich zur Wellenlänge der ionosphären-freien Linearkombination deutlich größere Narrowlane-Wellenlänge verwendet werden. Zur Stabilisierung des im Normalfall lediglich auf den Beobachtungsdaten des amerikanischen Global Positioning System (GPS) beruhenden funktionalen Modells können die Beobachtungsdaten des russischen GLObal’naya NAvigatsioannaya Sputnikovaya Sistema (GLONASS) beitragen. Aufgrund der Technik, die GLONASS zur Identifizierung der einzelnen Satelliten einsetzt (Frequency Division Multiple Access, FDMA), unterscheiden sich die Frequenzen der einzelnen Satelliten. Die leicht unterschiedlichen Frequenzen erschweren die Modellierung und Korrektion der instrumentell bedingten Signalverzögerungen (z. B. Fractional-Cycle Biases (FCB)). Vor diesem Hintergrund kann das konventionelle Mehrdeutigkeitsfestsetzungsverfahren nur bedingt für GLONASS verwendet werden. Die Untersuchung der instrumentell bedingten GLONASS-Signalverzögerungen sowie die Entwicklung einer alternativen Methode zur Festsetzung der GLONASS-Mehrdeutigkeiten mit dem Ziel einer kombinierten GPS/GLONASS-Mehrdeutigkeitslösung sind die Schwerpunkte der vorliegenden Arbeit. Die entwickelte alternative Mehrdeutigkeitsfestsetzungsstrategie baut auf der puren Widelane-Linearkombination auf, weshalb globale Ionosphärenmodelle unabdingbar sind. Sie eignet sich sowohl für GLONASS als auch für GPS und zeigt gleichwertige Ergebnisse für beide GNSS, wenngleich im Vergleich zur konventionellen Methode mit geringeren Mehrdeutigkeitsfestsetzungsquoten zu rechnen ist. / Precise Point Positioning (PPP) allows for accurate Global Navigation Satellite System (GNSS) based positioning without the immediate need for observations collected by regional station networks. The fundamental drawback of PPP in comparison to differential techniques such as Real-Time Kinematic (RTK) is a significant increase in convergence time. Among a plurality of different measures aiming for a reduction of convergence time, fixing the estimated carrier phase ambiguities to integer values is the key technique for success. The ambiguity resolution asks for a robust functional model and rests upon a two-stage method ruling out first-order ionospheric effects. In this context the Melbourne-Wübbena linear combination of dual-frequency carrier phase and code measurements leverages a simple resolution of widelane ambiguities. As a consequence the in comparison to the wavelength of the ionosphere-free linear combination significantly longer narrowlane wavelength can be used to form the ionosphere-free linear combination. By default the applied functional model is solely based on observations of the Global Positioning System (GPS). However measurements from the GLObal’naya NAvigatsioannaya Sputnikovaya Sistema (GLONASS) can contribute to improve the model’s stability significantly. Due to the technique used by GLONASS to distinguish individual satellites (Frequency Division Multiple Access, FDMA), the signals broadcast by those satellites differ in their frequencies. The resulting slightly different frequencies constitute a barricade for both modelling and correcting any device-dependent signal delays, e.g. fractional-cycle biases (FCB). These facts limit the applicability of the conventional ambiguity-fixing approach when it comes to GLONASS signals. The present work puts a focus both on investigating the device-dependent GLONASS signal delays and on developing an alternative method for fixing GLONASS ambiguities with the ultimate objective of a combined GPS/GLONASS ambiguity resolution. The alternative ambiguity resolution strategy is based on the pure widelane linear combination, for which reason ionospheric corrections are indispensable. The procedure is applicable for GLONASS in the first instance but reveals equivalent results for both GPS and GLONASS. The disadvantage relative to the conventional approach is the reduced ambiguity fixing success rate.

兩種語句處理模型曾被提出以解釋閱讀句子時語法及語意資訊的互動。句法優先模型(syntax-first models)認為詞性判斷必定先於語意分析，而制約滿足模型(constraint-satisfaction models)則認為不同的資訊在語句理解的過程中會同時被處理。本研究檢驗兩種語句處理模型能否解釋語句中的詞彙歧義解困(lexical ambiguity resolution)。 許多眼動研究曾發現詞彙歧義詞的次要語義偏向效應(subordinate bias effect)，顯示語意偏向次要語義的語境能加速激發歧義詞的次要語義並且產生語義競爭。然而，語境的語法在詞彙歧義解困中扮演的角色並不清楚。因而，不同語義分屬不同詞性的詞性歧義詞便提供我們一個媒介以檢驗詞彙歧義解困中詞性及語意限制的互動。 本研究的目的有二：(一) 檢驗詞性限制能否決定中文詞性歧義詞的語義解困；(二) 檢驗中文歧義詞語義的詞性是否會影響次要語義偏向效應。實驗一我們將四種不同類型的中文非均勢同形異義詞置於語法及語意皆為次要語義偏向的句子裡；實驗二則將四種不同類型的中文非均勢同形異義詞置於語法為次要語義偏向但語意中立的句子裡。受試者閱讀句子時的眼動表現會即時被記錄。 實驗一的結果發現：(一) 四類型歧義詞的次要語義偏向效應只反映在目標詞後區域的二次閱讀指標上；(二) 就效果量而言，NV歧義詞的次要語義偏向效應在目標詞及目標詞後兩個區域都比VN歧義詞來得大。實驗二的結果則發現：(一) VN歧義詞的次要語義偏向效應從目標詞區的首次閱讀指標就出現，並且持續至目標詞及目標詞後兩個區域的二次閱讀指標；(二) 另外三類型歧義詞的次要語義偏向效應直到所有分析區域的二次閱讀指標才反映出來；(三) NV歧義詞的次要語義偏向效應比VN歧義詞出現得更晚也更不明顯。整體而言，本研究的結果顯示詞性限制並不是影響中文詞性歧義詞語義解困的唯一因素。此結果支持制約滿足模型，並反對句法優先模型的預測。 / Two primary sentence processing models have been proposed to account for the interaction between syntactic and semantic information in reading sentences: Syntax-first models assume that syntactic-category assignment must precede semantic analysis, while constraint-satisfaction models propose that information from different sources is processed and weighed at the same time during sentence comprehension. The present study examined whether these sentence processing models, which assume different contribution of syntactic category and semantic context, can explain the resolution of lexical ambiguity in sentences. Several eye movement studies have demonstrated the subordinate bias effect (SBE) for lexical-semantic ambiguous words (i.e., NN/VV homographs), indicating that a subordinate-biased semantic context can boost the activation of the subordinate meaning of ambiguous words and causes meaning competition (Duffy, Morris, & Rayner, 1988). However, the role of syntactic context in lexical ambiguity resolution is less clear. Syntactic category ambiguous words (i.e., SCA words; VN/NV homographs), whose alternative meanings differ in syntactic category (e.g., watch in English), serve as a means of examining the interaction between syntactic category and semantic constraints during lexical ambiguity resolution. The purpose of the present study was twofold: (a) to examine whether the syntactic category constraint can determine the semantic resolution of Chinese SCA words, and (b) to investigate whether syntactic category of alternative meanings of Chinese homographs can influence the SBE during lexical ambiguity resolution. Four types of Chinese biased homographs (NN, VV, VN, and NV) were embedded into syntactically and semantically subordinate-biased sentences (Experiment 1) and into syntactically subordinate-biased but semantically neutral sentences (Experiment 2). Participants’ eye movements were recorded as they read each sentence. In Experiment 1, the results showed: (1) The SBE for the four types of homographs was significant only in the second-pass reading on the post-target words. (2) Numerically, the NV homographs revealed a larger effect size of SBE than VN homographs on both target and post-target words. In Experiment 2, the results showed: (1) The SBE for VN appeared from the first-pass reading on the target words and lasted to the second-pass reading on the target and post-target words. (2) The SBE for the other types of homographs did not occur until the second-pass reading in all analyzed regions. (3) The SBE for NV occurred much later and less obviously than that for VN. In general, our findings support the constraint-satisfaction models and reject the prediction of the syntax-first models, suggesting that the syntactic category constraint is not the only factor influencing the semantic resolution of SCA words.

過去二十多年來，心理語言學研究關注詞彙歧義解困 (lexical ambiguity resolution)歷程發生時，語義脈絡與多義詞的語義頻率之間的交互作用。許多研究發現，當語境支持非均勢同形異義詞 (unbalanced homograph) 的次要語義時，同形異義詞的凝視時間長於與其有相同字形頻率的單義詞 (unambiguous control)，此為次要語義偏向效應 (subordinate bias effect)。根據再排序觸接模型 (reordered-access model)，次要語義偏向效應來自於主要語義與次要語義的競爭；相對地，選擇觸接模型 (selective access model)則認為只有與語境相關的語義被激發，因此，次要語義偏向效應是因為提取到一個使用頻率較低的語義。本論文進行兩個眼動實驗。實驗一檢視中文多義詞的次要語義偏向效應以區辨兩種詞彙歧義解困模型分別提出的解釋。本實驗的材料使用了低頻同形異義詞、低頻單義詞、以及高頻單義詞。結果顯示，當使用的單義詞與多義詞字形頻率相同時，在目標詞及後目標詞上(目標詞後一個詞)皆發生了次要語義偏向效應。實驗二利用口語理解─視覺典範中透過受試者理解語音訊息時同步記錄眼動的作業方式來探究次要語義偏向效應是否來自於主要語義的激發。當口語句子中的目標詞被唸出後，會計算出隨著時間增加眼睛落在四個雙字詞的凝視比例。結果發現次要語義因為語境的選擇在聽到目標詞後大約500毫秒時就可被激發，主要語義則在一聽完多義詞後被激發。因此，多義詞的兩個語義在聽到目標詞後大約900至1300毫秒時(相當於在後目標詞時)發生競爭。整體而言，本研究顯示即使語境支持多義詞的次要語義，主要語義依然會被激發。因此，次要語義偏向效應是由兩個語義競爭後所造成的結果，符合再排序觸接模型的解釋。 / Research in psycholinguistics throughout the last two decades has focused on the interaction between linguistic context and meaning dominance during lexical ambiguity resolution. Many studies demonstrated the subordinate bias effect when the preceding context biased for the subordinate meaning (i.e. infrequent meaning) of an unbalanced homograph. According to the reordered access model, the SBE is due to competition between the dominant and subordinate meanings. On the contrary, the selective access model assumes only the context-relevant meaning is activated and the SBE is a result of access to a low frequent meaning. Two eye tracking experiments of sentence reading and sentence listening were conducted. Experiment 1 examined the SBE of Chinese homographs to differentiate the two accounts. We utilized low frequency homographs along with their matched low and high-frequency unambiguous words. The results showed the SBE emerging in fixation durations of the target region and post-target region (i.e. next two words of the target), when unambiguous controls were matched to the word-form frequency of ambiguous words. Experiment 2 used visual world paradigm to explore temporal dynamics of dominant meaning activation responsible for the SBE in an instructional eyetracking-during-listening task. Fixation probabilities on four disyllabic printed words were analyzed during a time period after a target word was uttered in a spoken sentence. The results supported the reordered access model. The subordinate meaning was activated by contextual information at about 500 ms after the onset of acoustic homograph at the time when context penetrated to make its favored meaning available. Soon after the offset of homograph, the dominant meaning became active. Both meanings associated with the homograph were activated during the time windows of 901 ms to 1300 ms, which approximately corresponding to the acoustic onset of post target. In sum, our studies demonstrate that the dominant meaning is activated even when the contextual information biases to the subordinate meaning of a homograph. The subordinate bias effect is the result of competition from two meanings, conforming to the reordered access model.