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Maximum Likelihood Receivers for DAPSK Signaling  

Xiao Lei (Department of Electrical Engineering, University of Notre Dame)
Dong Xiaodai (Department of Electrical and Computer Engineering, University of Victoria)
Tjhung Tjeng T. (Institute for Infocomm Research, TeleTech Park)
Publication Information
Journal of Communications and Networks / v.8, no.2, 2006 , pp. 205-211 More about this Journal
Abstract
This paper considers the maximum likelihood (ML) detection of 16-ary differential amplitude and phase shift keying (DAPSK) in Rayleigh fading channels. Based on the conditional likelihood function, two new receiver structures, namely ML symbol-by-symbol receiver and ML sequence receiver, are proposed. For the symbol-by-symbol detection, the conventional DAPSK detector is shown to be sub-optimum due to the complete separation in the phase and amplitude detection, but it results in very close performance to the ML detector provided that its circular amplitude decision thresholds are optimized. For the sequence detection, a simple Viterbi algorithm with only two states are adopted to provide an SNR gain around 1 dB on the amplitude bit detection compared with the conventional detector.
Keywords
Differential amplitude and phase shifty keying (DAPSK); maximum likelihood (ML) sequence detection; ML symbol-by-symbol detection; performance analysis; Rayleigh fading channels;
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Times Cited By Web Of Science : 1  (Related Records In Web of Science)
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