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Maximum-Likelihood Noncoherent PAM Detection
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DOI：10.1109/TCOMM.2012.010913.120448.png)
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摘要
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Sequence detection offers improved error-rate performance over conventional symbol-by-symbol detection when channel knowledge is not available at the receiver end. However, maximum-likelihood (ML) noncoherent sequence detection is proven to be notoriously intractable in many communication settings. In this work, we develop a new ML sequence detector for pulse-amplitude modulation (PAM) or quadrature-amplitude modulation (QAM) transmissions in unknown Rayleigh fading. Our detector identifies the ML sequence with overall polynomial complexity. This is possible via an auxiliary-angle approach that unlocks a low-rank property of the ML detection problem, reduces the exponential-size set of solution sequences to a polynomial-size set of candidates, and guarantees that the ML sequence is always contained in this substantially smaller set.
Keyword:
Fading channels
lattice decoding
maximum likelihood decoding
noncoherent detection
sequence detection
wireless communications
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8.3
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1.2W
被引数:
3.6W
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Polynomial-complexity noncoherent symbol-by-symbol detection with application to adaptive iterative decoding of turbo-like codes多项式复杂度非相干逐符号检测及其在类turbo码的自适应迭代解码中的应用
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