Symbol-by-symbol maximum likelihood (ML) detection with reduced complexity over multicarrier systems

Shang-Ho Tsai; Xiaoli Yu; C.-C. Jay Kuo

doi:10.1117/12.541979

10 August 2004 Symbol-by-symbol maximum likelihood (ML) detection with reduced complexity over multicarrier systems

Shang-Ho Tsai, Xiaoli Yu, C.-C. Jay Kuo

Proceedings Volume 5440, Digital Wireless Communications VI; (2004) https://doi.org/10.1117/12.541979
Event: Defense and Security, 2004, Orlando, Florida, United States

Abstract

A symbol-by-symbol maximum likelihood (ML) detection scheme for multicarrier (MC) systems is proposed in this work. When the number of subchannels is sufficiently large, the received symbols across all subchannels are approximately uncorrelated. Then, the proposed symbol-by-symbol ML detection, which is obtained by minimizing the symbol error probability, is nearly optimal. Furthermore, we will show how to reduce the complexity of the symbol-by-symbol ML detection when the constellation size is large. Simulation results show that the proposed symbol-by-symbol ML detection scheme outperforms the symbol-by-symbol minimum distance (MD) detection scheme by up to 2 dB in a noisy environment with crosstalk such as the DMT-ADSL system.

Citation Download Citation

Shang-Ho Tsai, Xiaoli Yu, and C.-C. Jay Kuo "Symbol-by-symbol maximum likelihood (ML) detection with reduced complexity over multicarrier systems", Proc. SPIE 5440, Digital Wireless Communications VI, (10 August 2004); https://doi.org/10.1117/12.541979

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