No / Two training schemes namely the orthogonal pilot scheme (OPS) and the superimposed pilot scheme (SPS) are compared in terms of achievable rates in multiple-antenna fading channels with memory. For both schemes, we show that the achievable rate depends on the number of antennas, signal-to-noise ratio (SNR) and fading speed via the channel estimation error variance and the fraction of time for data transmission. To guarantee positive achievable rates, we show that for the OPS the number of transmit antennas that can be accommodated is limited by the fading speed whereas for the SPS the number of antennas can be arbitrary. For most antenna configurations, we observe that while the SPS is superior in the low-SNR and fastfading regimes, the OPS is superior in other regimes. However, for a few number of antennas (e.g., single antenna), the SPS may also be superior in the low-SNR and slow-fading regimes.

Islanding occurs when a connected load to the grid is disconnected from the grid and energized solely by local generators. Islanding can result in frequency and voltage instability, changes in current, and overall poor power quality. Poor power quality can interrupt industrial operations, damage sensitive electrical equipment, and induce outages upon the resynchronization of the island with the grid. This study proposes an islanding detection method employing Duffing oscillators to analyze fluctuations at the point of common coupling (PCC) under a high-noise environment, focusing on decreasing detection period, zero power mismatch nondetection zone, and power quality degradation. Unlike existing methods, which overlook the noise effect, this study mitigates noise impact on islanding detection. Power system noise in PCC measurements arises from switching transients, harmonics, grounding issues, voltage sags, voltage swells, electromagnetic interference, and power quality issues that affect islanding detection. Transient events, like lightning-induced traveling waves can also introduce noise levels exceeding the voltage amplitude, disturbing conventional detection techniques~cite{IEEE1313}. The noise interferes with measurements and increases the nondetection zone (NDZ), causing failed or delayed islanding detection. Duffing oscillator nonlinear dynamics enable detection capabilities at a high noise level. The proposed methods are designed to detect the PCC measurement fluctuations based on the IEEE standard 1547 through the Duffing oscillator. The basic idea is that the Duffing oscillator phase trajectory changes from periodic to chaotic mode and sends an islanded operation command to the inverter. The proposed islanding detection method can distinguish switching transients and faults from an islanded operation. / Master of Science / This study introduces a method to detect one of the important power grid issues, called islanding. Islanding occurs when a power grid section becomes isolated and continues to operate independently, leading to power quality problems and safety hazards. The method is developed using a Duffing oscillator that can detect special signals under a high-noise environment. The proposed method monitors electrical characteristics for islanding detection, including frequency, phase angle, and voltage amplitude. The method can quickly and accurately identify when an islanded operation occurs by analyzing these signals. This method combines the advantages of passive and active detection methods while avoiding common drawbacks, such as failed and delayed detection and power quality degradation. The proposed method is tested on a setup and meets IEEE standard 1547 criteria for safety and performance. The method is important because it detects islanded operations in a high-noise environment when the other methods cannot detect islanded operations correctly. The method maintains accuracy with decreased power quality degradation in noise. This method is a cost-effective solution for modern power grids increasingly integrating renewable energy resources.

Opportunistic selection and rate adaptation play a vital role in improving the spectral and power efficiency of current multi-node wireless systems. However, time-variations in wireless channels affect the performance of opportunistic selection and rate-adaptation in the following ways. Firstly, the selected node can become sub-optimal by the time data transmission commences. Secondly, the choice of transmission parameters such as rate and power for the selected node become sub-optimal. Lastly, the channel changes during data transmission. In this thesis, we develop a comprehensive and tractable analytical framework that accurately accounts for these effects. It differs from the extensive existing literature that primarily focuses on time-variations until the data transmission starts. Firstly, we develop a novel concept of a time-invariant effective signal-to-noise ratio (TIESNR), which tractably and accurately captures the time-variations during the data transmission phase with partial channel state information available at the receiver. Secondly, we model the joint distribution of the signal-to-noise ratio at the time of selection and TIESNR during the data transmission using generalized bivariate gamma distribution. The above analytical steps facilitate the analysis of the outage probability and average packet error rate (PER) for a given modulation and coding scheme and average throughput with rate adaptation. We also present extensive numerical results to verify the accuracy of each step of our approach and show that ignoring the correlated time variations during the data transmission phase can significantly underestimate the outage probability and average PER, whereas it overestimates the average throughput even for packet durations as low as 1 msec.

Photoconductive antenna (PCA) array based THz near-field imager incorporating Hadamard multiplexing method is developed in this work. By using a 2 × 2 dipole antenna array as the THz transmitter, the system signal-to-noise ratio (SNR) is demonstrated to be improved by a factor of 2 as the theory predicts. Additionally, a 2-D scanning of a metallic structure on a THz-transparent substrate (with a total scanning area of 1 × 1 mm2) is experimentally implemented. Correlation coefficient estimation is made afterwards to quantify the reconstructed image quality.

Neste trabalho é apresentada uma nova geometria e os critérios de projeto para dispositivos de espectrometria de mobilidade iônica, com objetivo de aumentar a relação entre sinal e ruído detectados pelos eletrômetros que compõem a região de detecção, quando associado à ionização baseada em descargas elétricas que tipicamente emitem maior interferência eletromagnética em relação a outros tipos de ionização. A geometria e os critérios de projeto foram estabelecidos com o auxílio do simulador de trajetórias iônicas SIMION versão 8.1 e comparada com espectrômetros de mobilidade iônica do estado-da-arte. Os resultados das simulações dos dispositivos foram avaliados por meio dos testes estatísticos não-paramétricos de Iman-Davenport e Holm. O resultado indicou que a geometria proposta apresentou compatibilidade com as melhores características dos espectrômetros atuais com confiança estatística a 95 %. Na sequência a geometria proposta foi simulada, fabricada e testada para detecção dos íons de: tolueno - C7H8 (C5H5+, C6H5+, C7H7+), propanol - C3H8O (CH3+, CH3O+, C2H3+, C2H4O+, C2H5O+, C3H6+, C3H7+, C3H7O+) e água - H2O (H+, HO+, H2+, O+). Os picos de corrente iônica detectada nos eletrômetros indicaram coerência com as trajetórias simuladas para estes conjuntos de íons. Além disso, os resultados experimentais apresentaram um aumento na relação entre sinal e ruído para a nova geometria proposta que foi validada pelo teste de comparação pareada não-paramétrico de Wilcoxon a 95 % de confiança estatística. / In this work, a new geometry and a design criteria for ion mobility spectrometry devices was presented, aiming to increase the signal-to-noise ratio detected by electrodes of the detection region, when associated with ionization based on electrical discharges. The new geometry and the design criteria were established in the SIMION version 8.1 (an ionic trajectory simulator) and compared with the state-of-art ion mobility spectrometers. The results from device simulations were evaluated using the non-parametric statistical test of Iman-Davenport and Holm. The result indicated that the proposed design criteria presented compatibility with the best characteristics of current spectrometers with statistical evidence at 95%. The proposed geometry was simulated, fabricated and tested for the following solvents: toluene - C7H8 (C5H5+, C6H5+, C7H7+), propanol - C3H8O (CH3+, CH3O+, C2H3+, C2H4O+, C2H5O+, C3H6+, C3H7+, C3H7O+) and water - H2O (H+, HO+, H2+, O+). The peaks of ion current detected in the electrometers occurred at approximate positions of the simulated trajectories for these sets of ions. In addition, the experimental data showed an increase in the signal-to-noise ratio for the proposed new geometry that was validated by the test statistic of Wilcoxon signed rank at 95% statistical confidence.

Neste trabalho é apresentada uma nova geometria e os critérios de projeto para dispositivos de espectrometria de mobilidade iônica, com objetivo de aumentar a relação entre sinal e ruído detectados pelos eletrômetros que compõem a região de detecção, quando associado à ionização baseada em descargas elétricas que tipicamente emitem maior interferência eletromagnética em relação a outros tipos de ionização. A geometria e os critérios de projeto foram estabelecidos com o auxílio do simulador de trajetórias iônicas SIMION versão 8.1 e comparada com espectrômetros de mobilidade iônica do estado-da-arte. Os resultados das simulações dos dispositivos foram avaliados por meio dos testes estatísticos não-paramétricos de Iman-Davenport e Holm. O resultado indicou que a geometria proposta apresentou compatibilidade com as melhores características dos espectrômetros atuais com confiança estatística a 95 %. Na sequência a geometria proposta foi simulada, fabricada e testada para detecção dos íons de: tolueno - C7H8 (C5H5+, C6H5+, C7H7+), propanol - C3H8O (CH3+, CH3O+, C2H3+, C2H4O+, C2H5O+, C3H6+, C3H7+, C3H7O+) e água - H2O (H+, HO+, H2+, O+). Os picos de corrente iônica detectada nos eletrômetros indicaram coerência com as trajetórias simuladas para estes conjuntos de íons. Além disso, os resultados experimentais apresentaram um aumento na relação entre sinal e ruído para a nova geometria proposta que foi validada pelo teste de comparação pareada não-paramétrico de Wilcoxon a 95 % de confiança estatística. / In this work, a new geometry and a design criteria for ion mobility spectrometry devices was presented, aiming to increase the signal-to-noise ratio detected by electrodes of the detection region, when associated with ionization based on electrical discharges. The new geometry and the design criteria were established in the SIMION version 8.1 (an ionic trajectory simulator) and compared with the state-of-art ion mobility spectrometers. The results from device simulations were evaluated using the non-parametric statistical test of Iman-Davenport and Holm. The result indicated that the proposed design criteria presented compatibility with the best characteristics of current spectrometers with statistical evidence at 95%. The proposed geometry was simulated, fabricated and tested for the following solvents: toluene - C7H8 (C5H5+, C6H5+, C7H7+), propanol - C3H8O (CH3+, CH3O+, C2H3+, C2H4O+, C2H5O+, C3H6+, C3H7+, C3H7O+) and water - H2O (H+, HO+, H2+, O+). The peaks of ion current detected in the electrometers occurred at approximate positions of the simulated trajectories for these sets of ions. In addition, the experimental data showed an increase in the signal-to-noise ratio for the proposed new geometry that was validated by the test statistic of Wilcoxon signed rank at 95% statistical confidence.

OFDM has been recognized as a powerful multi-carrier modulation technique that provides efficient spectral utilization and resilience to frequency selective fading channels. Adaptive modulation is a concept whereby the modulation modes are dynamically changed based on the perceived instantaneous channel conditions. In conjunction with OFDM systems, adaptive modulation is a very powerful technique to combat the frequency selective nature of mobile channels, while simultaneously attempting to fully maximize the time-varying capacity of the channel. This is based on the fact that frequency selective fading affects the sub-carriers unevenly, causing some of them to fade more severely than others. The modulation modes are adaptively selected on the sub-carriers depending on the amount of fading, to maximize throughput and improve the overall BER. Transmission parameter adaptation is the response of the transmitter to the time-varying channel quality. To efficiently react to the dynamic nature of the channel, adaptive OFDM systems rely on efficient algorithms in three key areas namely, channel quality estimation, transmission parameter selection and signaling or blind detection mechanisms of the modified parameters. These are together termed as the enabling techniques that contribute to the effective performance of adaptive OFDM systems. This thesis deals with higher performance and efficient enabling parameter estimation algorithms that further improve the overall performance of adaptive OFDM systems. Traditional estimation of channel quality indicators, such as noise power and SNR, assume that the noise has a flat power spectral density within the transmission band of the OFDM signal. Hence, a single estimate of the noise power is obtained by averaging the instantaneous noise power values across all the sub-carriers. In reality, the noise within the OFDM bandwidth is a combination of white and correlated noise components, and has an uneven affect across the sub-carriers. It is this fact that has motivated the proposal of a windowing approach for noise power estimation. Windowing provides many local estimates of the dynamic noise statistics and allows better noise tracking across the OFDM transmission band. This method is particularly useful for better resource utilization and improved performance in sub-band adaptive modulation, where adaptation is performed on the sub-carriers on a group-by-group basis based on the observed channel conditions. Blind modulation mode detection is another relatively unexplored issue in regard to adaptation of OFDM systems. The receiver has to be informed of the appropriate modulation modes used at the transmitter for proper demodulation. If this can be done without any explicit signaling information embedded within the OFDM symbol, it has the advantage of improved throughput and data capacity. A model selection approach is taken, a novel statistical blind modulation detection method based on the Kullback-Leibler (K-L) distance is proposed. This algorithm takes into account the distribution of the Euclidian distances from the received noisy samples on the complex plane to the closest legitimate constellation points of all the modulation modes used. If this can be done without any explicit signaling information embedded within the OFDM symbol, it has the advantage of improved throughput and data capacity. A model selection approach is taken, and a novel statistical blind modulation detection method based on the Kullback-Leibler (K-L) distance is proposed. This algorithm takes into account the distribution of the Euclidian distances from the received noisy samples on the complex plane to the closest legitimate constellation points of all the modulation modes used.

To many, high-frequency (HF) radio communications is obsolete in this age of long distance satellite communications and undersea optical fiber. Yet despite this, the HF band is used by defence agencies for backup communications and spectrum surveillance, and is monitored by spectrum management organizations to enforce licensing. Such activity usually requires systems capable of locating distant transmitters, separating valid signals from interference and noise, and recognizing signal modulation. Research presented here targets the latter issue. The ultimate aim is to develop robust algorithms for automatic modulation recognition of real HF signals, where real means signals propagating by multiple ionospheric modes with co-channel signals and non- Gaussian noise. However, many researchers adopt Gaussian noise models for signals for the sake of convenience at the cost of accuracy. Furthermore, literature describing the probability density function (PDF) of HF noise does not abound. So an additional aim of this research is measurement of the PDF of HF noise. A simple empirical technique, not found in the literature, is described that supports the hypothesis that HF noise is generally not Gaussian. In fact, the probability density function varies with the time of day, electromagnetic environment, and state of the ionosphere. Key contributions of this work relate to the statistics of HF noise and the discrimination of real HF signals via three signal features. Through two unique experiments, the density function of natural HF noise is found to closely follow a Bi-Kappa distribution. This distribution can model natural and man-made HF noise through a single control parameter. Regarding signal features, the coherence function is found to be a brute-force technique suitable only for hard (not soft) decisions. A novel application of an entropic distance measure proves able to separate four real HF signals based on their modulation types. And, an estimator for signal-to-noise (SNR) ratio is shown to provide reasonable measures of SNR for the same real HF signals. / http://proxy.library.adelaide.edu.au/login?url= http://library.adelaide.edu.au/cgi-bin/Pwebrecon.cgi?BBID=1330848 / Thesis (Ph.D.) - University of Adelaide, School of Electrical and Electronic Engineering, 2008

In the last decade, microwave and millimeter-wave systems have gained importance in civil and security applications. Due to an increasing maturity and availability of circuits and components, these systems are getting more compact while being less expensive. Furthermore, quantitative imaging has been conducted at lower frequencies using computational intensive inverse problem algorithms. Due to the ill-posed character of the inverse problem, these algorithms are, in general, very sensitive to noise: the key to their successful application to experimental data is the precision of the measurement system. Only a few research teams investigate systems for imaging in the W-band. In this manuscript such a system is presented, designed to provide scattered field data to quantitative reconstruction algorithms. This manuscript is divided into six chapters. Chapter 2 describes the theory to compute numerically the scattered fields of known objects. In Chapter 3, the W-band measurement setup in the anechoic chamber is shown. Preliminary measurement results are analyzed. Relying on the measurement results, the error sources are studied and corrected by post-processing. The final results are used for the qualitative reconstruction of all three targets of interest and to image quantitatively the small cylinder. The reconstructed images are compared in detail in Chapter 4. Close range imaging has been investigated using a vector analyzer and a radar system. This is described in Chapter 5, based on a future application, which is the detection of FOD on airport runways. The conclusion is addressed in Chapter 6 and some future investigations are discussed.

The use of Computerised microtomography (CμT) in biomedical research is well established, with most applications developed at synchrotron facilities. The possibility to non-invasively monitor morphological changes in biological samples, makes it an attractive technique in biomedicine. However, high absorbed doses and long examination times are a disadvantage that limits the possibilities of performing longitudinal examinations. The aim of this work was to optimise CmT using conventional X-ray tubes for applications in non-destructive material testing and for skeleton research in small animals (rat). A calculational model of the imaging system was developed and used to optimise the relation between image quality, expressed as the signal-to-noise ratio (SNR) in detecting a contrasting detail, and imaging time in material testing. The model was modified to optimise the relation between the SNR in detecting a trabecular detail in cancelleous bone and the mean absorbed dose in spongiosa and skin for (rat) tibia and femur. Gastrectomized Sprague-Dawley rats were used to initiate osteoporotic changes. In order to detect differences in between gastrectomized rats and controls, spatial resolutions of 150 mm or better were needed. The minimum absorbed doses in femur spongiosa at SNR = 5 were 1mGy - 700 mGy at spatial resolutions from 100 mm to10 mm. In femur skin, the corresponding minimum absorbed doses were 2 mGy - 2000 mGy. Corresponding values for tibia were 0.3 mGy - 300 mGy for both spongiosa and skin (spatial resolution of 100 mm to10 mm). Taking 0.5 Gy as the tolerance limit for the spongiosa dose, longitudinal studies with six repeated examinations will be possible at a spatial resolution of 25 mm in femur and 17 examinations in tibia.