NDLI: Receiver-only optimized Vector Quantization for fading channels

Content Provider	IEEE Xplore Digital Library
Author	Sowmya, R. Murthy, C.R.
Copyright Year	2010
Description	Author affiliation: ECE Department, Sir M.V.I.T, Bangalore, KA 560052 (Sowmya, R.) \|\| ECE Department, I.I. Sc Bangalore, KA 560012 (Murthy, C.R.)
Abstract	This paper considers the design and analysis of a filter at the receiver of a source coding system to mitigate the excess distortion caused due to channel errors. The index output by the source encoder is sent over a fading discrete binary symmetric channel and the possibly incorrect received index is mapped to the corresponding codeword by a Vector Quantization (VQ) decoder at the receiver. The output of the VQ decoder is then processed by a receive filter to obtain an estimate of the source instantiation. The distortion performance is analyzed for weighted mean square error (WMSE) and the optimum receive filter that minimizes the expected distortion is derived for two different cases of fading. It is shown that the performance of the system with the receive filter is strictly better than that of a conventional VQ and the difference becomes more significant as the number of bits transmitted increases. Theoretical expressions for an upper and lower bound on the WMSE performance of the system with the receive filter and a Rayleigh flat fading channel are derived. The design of a receive filter in the presence of channel mismatch is also studied and it is shown that a minimax solution is the one obtained by designing the receive filter for the worst possible channel. Simulation results are presented to validate the theoretical expressions and illustrate the benefits of receive filtering.
Starting Page	1
Ending Page	5
File Size	290862
Page Count	5
File Format	PDF
ISBN	9781424463831
e-ISBN	9781424463862
DOI	10.1109/NCC.2010.5430183
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2010-01-29
Publisher Place	INDIA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Fading Algorithm design and analysis Filters Transmitters Vector quantization Source coding Mean square error methods Weighted Mean Square Error Decoding Performance analysis Rayleigh-fading channels Design optimization
Content Type	Text
Resource Type	Article

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