Abstract
We consider the problem of transmitting a continuous source through an OFDM system. Multiple description scalar quantization (MDSQ) is applied to the source signal, resulting in two correlated source descriptions. The two descriptions are then OFDM modulated and transmitted through two parallel frequency-selective fading channels. At the receiver, a blind turbo receiver is developed for joint OFDM demodulation and MDSQ decoding. Transformation of the extrinsic information of the two descriptions are exchanged between each other to improve system performance. A blind soft-input soft-output OFDM detector is developed, which is based on the techniques of importance sampling and resampling. Such a detector is capable of exchanging the so-called extrinsic information with the other component in the above turbo receiver, and successively improving the overall receiver performance. Finally, we also treat channel-coded systems, and a novel blind turbo receiver is developed for joint demodulation, channel decoding, and MDSQ source decoding.
Highlights
Multiple description scalar quantization (MDSQ) is a source coding technique that can exploit diversity communication systems to overcome channel impairments
A novel blind turbo receiver is developed for joint demodulation, channel decoding, and source decoding
Assume the channel bandwidth for each orthogonal frequency-division multiplexing (OFDM) system is divided into N =
Summary
Multiple description scalar quantization (MDSQ) is a source coding technique that can exploit diversity communication systems to overcome channel impairments. We propose an iterative MDSQ decoder for communication over fading channels, where the extrinsic information of the descriptions is exchanged with each other by exploiting the correlation between the two descriptions. The source signals are quantized and encoded by an MDSQ, resulting in two correlated descriptions These two descriptions are modulated by OFDM and sent through two parallel fading channels. The transformation is in terms of a transformation matrix which describes the correlation between the two descriptions Another novelty in this paper is the derivation of a blind detector based on a Bayesian formulation and sequential Monte Carlo (SMC) techniques for the differentially encoded OFDM system.
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