Open Access
Maximum likelihood receiver for multiple channel transmission systems
W. van Etten
- pp 305-312
TLDR
In this article, a maximum likelihood estimator for digital sequences disturbed by Gaussian noise, intersymbol interference (ISI) and interchannel interference (ICI) is derived.Abstract:
A maximum likelihood (ML) estimator for digital sequences disturbed by Gaussian noise, intersymbol interference (ISI) and interchannel interference (ICI) is derived. It is shown that the sampled outputs of the multiple matched filter (MMF) form a set of sufficient statistics for estimating the input vector sequence. Two ML vector sequence estimation algorithms are presented. One makes use of the sampled output data of the multiple whitened matched filter and is called the vector Viterbi algorithm. The other one is modification of the vector Viterbi algorithm and uses directly the sampled output of the MMF. It appears that, under a certain condition, the error performance is asymptotically as good as if both ISI and ICI were absent.read more
Citations
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References
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Minimum probability of error for asynchronous Gaussian multiple-access channels
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Journal ArticleDOI
Zero forcing and minimum mean-square-error equalization for multiuser detection in code-division multiple-access channels
Anja Klein,G.K. Kaleh,P.W. Baier +2 more
TL;DR: Four suboptimum detection techniques based on zero forcing and minimum mean-square-error equalization with and without decision feedback (DF) are presented and compared and it is shown that the performance of the MMSE equalizers is better than that of the corresponding ZF equalizers.