Low-Complexity Near-Optimal Decoding for Analog Joint Source Channel Coding Using Space-Filling Curves

Analog Joint Source-Channel Coding (JSCC) is a communication strategy that does not follow the separation principle of conventional digital systems but approaches the optimal distortion-cost tradeoff over AWGN channels. Conventional Maximum Likelihood (ML) analog JSCC decoding schemes suffer perform...

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Vydáno v:IEEE communications letters Ročník 17; číslo 4; s. 745 - 748
Hlavní autoři: Fresnedo, O., Vazquez-Araujo, F. J., Castedo, L., Garcia-Frias, J.
Médium: Journal Article
Jazyk:angličtina
Vydáno: New York, NY IEEE 01.04.2013
Institute of Electrical and Electronics Engineers
Témata:
Analog joint source channel coding
Applied sciences
AWGN channels
Channel coding
Coding, codes
Complexity theory
Exact sciences and technology
Fading
Information, signal and communications theory
Maximum likelihood decoding
MIMO
MMSE estimation and decoding
non-linear mappings
optimum performance theoretically attainable
Signal and communications theory
Systems, networks and services of telecommunications
Telecommunications
Telecommunications and information theory
Transmission and modulation (techniques and equipments)
Fading channels
Performance evaluation
MIMO system
Analog joint source channel coding
non-linear mappings
Mapping
Numerical method
Joint source channel coding
Maximum likelihood decoding
Mean square error
Analog processing
AWGN channels
Degradation
Digital system
MMSE estimation and decoding
Algorithm complexity
Maximum likelihood
optimum performance theoretically attainable
Damaging
Signal to noise ratio
ISSN:1089-7798
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Popis
Shrnutí:Analog Joint Source-Channel Coding (JSCC) is a communication strategy that does not follow the separation principle of conventional digital systems but approaches the optimal distortion-cost tradeoff over AWGN channels. Conventional Maximum Likelihood (ML) analog JSCC decoding schemes suffer performance degradation at low Channel Signal to Noise Ratio (CSNR) values, while Minimum Mean Square Error (MMSE) decoding presents high complexity. In this letter we propose an alternative two step decoding approach which achieves the near-optimal performance of MMSE decoding at all CSNR values while maintaining a low complexity comparable to that of ML decoding. An additional advantage of the proposed analog JSCC decoding approach is that it can also be used in Multiple Input Multiple Output (MIMO) fading channels.
ISSN:1089-7798
DOI:10.1109/LCOMM.2013.021913.122782