by Lee Wai Hung. / Thesis (M.Phil.)--Chinese University of Hong Kong, 1999. / Includes bibliographical references (leaves 118-121). / Abstracts in English and Chinese. / Chapter 1 --- INTRODUCTION --- p.1 / Chapter 1.1 --- Background --- p.1 / Chapter 1.2 --- Structure of Thesis --- p.8 / Chapter 1.3 --- Methodology --- p.8 / Chapter 2 --- BACKGROUND THEORY --- p.10 / Chapter 2.1 --- Radio Wave Propagation Modeling --- p.10 / Chapter 2.1.1 --- Basic Propagation Phenomena --- p.10 / Chapter 2.1.1.1 --- Propagation in Free Space --- p.10 / Chapter 2.1.1.2 --- Reflection and Transmission --- p.11 / Chapter 2.1.2 --- Practical Propagation Models --- p.12 / Chapter 2.1.2.1 --- Longley-Rice Model --- p.13 / Chapter 2.1.2.2 --- The Okumura Model --- p.13 / Chapter 2.1.3 --- Indoor Propagation Models --- p.14 / Chapter 2.1.3.1 --- Alexander Distance/Power Laws --- p.14 / Chapter 2.1.3.2 --- Saleh Model --- p.15 / Chapter 2.1.3.3 --- Hashemi Experiments --- p.16 / Chapter 2.1.3.4 --- Path Loss Models --- p.17 / Chapter 2.1.3.5 --- Ray Optical Models --- p.18 / Chapter 2.2 --- Ray Tracing： Brute Force approach --- p.20 / Chapter 2.2.1 --- Physical Layout --- p.20 / Chapter 2.2.2 --- Antenna Information --- p.20 / Chapter 2.2.3 --- Source Ray Directions --- p.21 / Chapter 2.2.4 --- Formulation --- p.22 / Chapter 2.2.4.1 --- Formula of Amplitude --- p.22 / Chapter 2.2.4.2 --- Power Reference E o --- p.23 / Chapter 2.2.4.3 --- Power spreading with path length 1/d --- p.23 / Chapter 2.2.4.4 --- Antenna Patterns --- p.23 / Chapter 2.2.4.5 --- Reflection and Transmission Coefficients --- p.24 / Chapter 2.2.4.6 --- Polarization --- p.26 / Chapter 2.2.5 --- Mean Received Power --- p.26 / Chapter 2.2.6 --- Effect of Thickness --- p.27 / Chapter 2.3 --- Neural Network --- p.27 / Chapter 2.3.1 --- Architecture --- p.28 / Chapter 2.3.1.1 --- Multilayer feedforward network --- p.28 / Chapter 2.3.1.2 --- Recurrent Network --- p.29 / Chapter 2.3.1.3 --- Fuzzy ARTMAP --- p.29 / Chapter 2.3.1.4 --- Self organization map --- p.30 / Chapter 2.3.1.5 --- Modular Neural network --- p.30 / Chapter 2.3.2 --- Training Method --- p.32 / Chapter 2.3.3 --- Advantages --- p.33 / Chapter 2.3.4 --- Definition --- p.34 / Chapter 2.3.5 --- Software --- p.34 / Chapter 3 --- HYBRID MODULAR NEURAL NETWORK --- p.35 / Chapter 3.1 --- Input and Output Parameters --- p.35 / Chapter 3.2 --- Architecture --- p.36 / Chapter 3.3 --- Data Preparation --- p.42 / Chapter 3.4 --- Advantages --- p.42 / Chapter 3.5 --- Limitation --- p.43 / Chapter 3.6 --- Applicable Environment --- p.43 / Chapter 4 --- INDIVIDUAL MODULES IN HYBRID MODULAR NEURAL NETWORK --- p.45 / Chapter 4.1 --- Conversion between spherical coordinate and Cartesian coordinate --- p.46 / Chapter 4.1.1 --- Architecture --- p.46 / Chapter 4.1.2 --- Input and Output Parameters --- p.47 / Chapter 4.1.3 --- Testing result --- p.48 / Chapter 4.2 --- Performing Rotation and translation transformation --- p.53 / Chapter 4.3 --- Calculating a hit point --- p.54 / Chapter 4.3.1 --- Architecture --- p.55 / Chapter 4.3.2 --- Input and Output Parameters --- p.55 / Chapter 4.3.3 --- Testing result --- p.56 / Chapter 4.4 --- Checking if an incident ray hits a Scattering Surface --- p.59 / Chapter 4.5 --- Calculating separation distance between source point and hitting point --- p.59 / Chapter 4.5.1 --- Input and Output Parameters --- p.60 / Chapter 4.5.2 --- Data Preparation --- p.60 / Chapter 4.5.3 --- Testing result --- p.61 / Chapter 4.6 --- Calculating propagation vector of secondary ray --- p.63 / Chapter 4.7 --- Calculating polarization vector of secondary ray --- p.63 / Chapter 4.7.1 --- Architecture --- p.64 / Chapter 4.1.2 --- Input and Output Parameters --- p.65 / Chapter 4.7.3 --- Testing result --- p.68 / Chapter 4.8 --- Rejecting ray from simulation --- p.72 / Chapter 4.9 --- Calculating receiver signal --- p.73 / Chapter 4.10 --- Further comment on preparing neural network --- p.74 / Chapter 4.10.1 --- Data preparation --- p.74 / Chapter 4.10.2 --- Batch training --- p.75 / Chapter 4.10.3 --- Batch size --- p.78 / Chapter 5 --- CANONICAL EVALUATION OF MODULAR NEURAL NETWORK --- p.80 / Chapter 5.1 --- Typical environment simulation compared with ray launching --- p.80 / Chapter 5.1.1 --- Free space --- p.80 / Chapter 5.1.2 --- Metal ground reflection --- p.81 / Chapter 5.1.3 --- Dielectric ground reflection --- p.84 / Chapter 5.1.4 --- Empty Hall --- p.86 / Chapter 6 --- INDOOR PROPAGATION ENVIRONMENT APPLICATION --- p.90 / Chapter 6.1 --- Introduction --- p.90 / Chapter 6.2 --- Indoor measurement on the Third Floor of Engineering Building --- p.90 / Chapter 6.3 --- Comparison between simulation and measurement result --- p.92 / Chapter 6.3.1 --- Path 1 --- p.93 / Chapter 6.3.2 --- Path 2 --- p.95 / Chapter 6.3.3 --- Path 3 --- p.97 / Chapter 6.3.4 --- Path 4 --- p.99 / Chapter 6.3.5 --- Overall Performance --- p.100 / Chapter 6.4 --- Delay Spread Analysis --- p.101 / Chapter 6.4.1 --- Location 1 --- p.103 / Chapter 6.4.2 --- Location 2 --- p.105 / Chapter 6.4.3 --- Location 3 --- p.107 / Chapter 6.4.4 --- Location 4 --- p.109 / Chapter 6.4.5 --- Location 5 --- p.111 / Chapter 6.5 --- Summary --- p.112 / Chapter 7 --- CONCLUSION --- p.I / Chapter 7.1 --- Summary --- p.113 / Chapter 7.2 --- Recommendations for Future Work --- p.115 / PUBLICATION LIST --- p.117 / BIBLIOGRAHY --- p.118
| Identifer | oai:union.ndltd.org:cuhk.edu.hk/oai:cuhk-dr:cuhk_322766 |
| Date | January 1999 |
| Contributors | Lee, Wai Hung., Chinese University of Hong Kong Graduate School. Division of Electronic Engineering. |
| Source Sets | The Chinese University of Hong Kong |
| Language | English, Chinese |
| Detected Language | English |
| Type | Text, bibliography |
| Format | print, vi, 121 leaves : ill. ; 30 cm. |
| Rights | Use of this resource is governed by the terms and conditions of the Creative Commons “Attribution-NonCommercial-NoDerivatives 4.0 International” License (http://creativecommons.org/licenses/by-nc-nd/4.0/) |
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