Performance Analysis of Joint Source Channel Coding in Mimo Systems
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Date
2007
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Addis Ababa University
Abstract
Joint source-channel coding/decoding techniques in multimedia communications have become a state-of-the-art and one of the challenging research subjects in the spatial communication area. They have great application prospective and deep impact in various manned space flights, satellite missions, mobile radio communications, and deep-space explorations. In the last few years, there have been influential achievements in Joint Source-channel coding/decoding studies. In this thesis one of the Joint Source Channel Coding (JSCC) technique, called Channel Optimized Vector Quantizer (COVQ) is used for encoding. The decoding is done by mapping the index of regions to the appropriate codebook vector. By doing the source coding and the channel coding optimized to each other some redundant information in the source will be left for the channel coding rather than removing it all. The performance is evaluated over a multi-antenna communication system with orthogonal space-time block coding through Bit Error Rate (BER) and Signal-to-Distortion ratio (SDR). The results show that the Joint Source channel Coding scheme outperforms the Tandem System (Shannon’s Separate coding theorem) in both performance measures (BER and SDR). Even if the main concern of the work is to apply the COVQ at the encoder side and see its performance on a Multiple Input Multiple Output (MIMO) channel, vector quantization source encoding and decoding concatenated with convolutional channel encoding and decoding methods are dealt for the purpose of comparison. The results of this comparison show that the JSCC scheme has better performance than what??. In addition, both Tandem system and JSCC scheme performance with respect to the Bit Error Rate (BER) and Signal-to-Distortion Ratio (SDR) are investigated on a Single Output Single Input channel. And it is observed that the JSCC scheme has a better performance than what??. Keywords: Joint Source Channel Coding; Channel Optimized Vector Quantization
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Keywords
Joint Source Channel Coding, Channel Optimized Vector Quantization