NDLI: Low complexity decoding of bit-interleaved coded modulation for M-ary QAM

Content Provider	IEEE Xplore Digital Library
Author	Akay, E. Ayanoglu, E.
Copyright Year	2004
Description	Author affiliation: Center for Pervasive Commun. & Comput., California Univ., Irvine, CA, USA (Akay, E.; Ayanoglu, E.)
Abstract	It has been shown by Zehavi that the performance of coded modulation can be improved over a Rayleigh fading channel by bit-wise interleaving at the encoder output, and by using an appropriate soft-decision metric for a Viterbi decoder at the receiver. Caire et al presented the details of the theory behind bit-interleaved coded modulation (BICM). In this paper we show that for Gray encoded M-ary quadrature amplitude modulation (QAM) systems, the bit metrics of BICM can be further simplified. In QAM systems, the maximum likelihood (ML) detector for BICM uses the minimum distance between the received symbol and M/2 constellation points on the complex plane as soft-decision metrics. We show that soft-decision bit metrics for the ML decoder can be further simplified to the minimum distance between the received symbol and /spl radic/M/2 constellation points on the real line /spl Ropf/1. This reduces the number of calculations needed for each bit metric substantially, and therefore reduces the complexity of the decoder without compromising the performance. Simulation results for single carrier modulation (SCM), and multi-carrier modulation (MCM) systems over additive white Gaussian noise (AWGN) and Rayleigh fading channels agree with our findings. In addition, we tie this result to the decoding methods for bit interleaved convolutional code standards used in industry.
Starting Page	901
Ending Page	905
File Size	392371
Page Count	5
File Format	PDF
ISBN	0780385330
DOI	10.1109/ICC.2004.1312632
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2004-06-20
Publisher Place	France
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Interleaved codes Modulation coding Quadrature amplitude modulation Maximum likelihood decoding Fading Maximum likelihood detection AWGN Viterbi algorithm Detectors Additive white noise
Content Type	Text
Resource Type	Article

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