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Optimal and Approximate Methods for Detection of Uncoded Data with Carrier Phase Noise

Rajet Krishnan (Institutionen för signaler och system, Kommunikationssystem) ; Hani Mehrpouyan (Institutionen för signaler och system, Kommunikationssystem) ; Thomas Eriksson (Institutionen för signaler och system, Kommunikationssystem) ; Tommy Svensson (Institutionen för signaler och system, Kommunikationssystem)
IEEE Globecom 2011 (2011)
[Konferensbidrag, refereegranskat]

Previous results in the literature have shown that derivation of the optimum \textit{maximum-likelihood} (ML) receiver for \textit{symbol-by-symbol} (SBS) detection of an uncoded data sequence in the presence of \textit{random phase noise} is an intractable problem, since it involves the computation of the conditional \textit{probability distribution function} (PDF) of the phase noise process. In this paper, we seek to minimize \textit{symbol error probability} (SEP), which is achieved by SBS detection of the sequence based on all received signals. We show that the ML detector for this problem can be formulated as a weighted sum of central moments of the conditional PDF of phase noise. Given that the central moments of the conditional PDF of phase noise can be estimated, this new optimal structure is tractable with respect to the previously known optimal ML receiver. Furthermore, based on the new receiver structure, we propose a simple approximate method for SBS detection and investigate its scope and applicability. Simulation results demonstrate that SEP performance close to optimality can be obtained through the proposed method for scenarios of low phase noise variance and low \textit{signal-to-noise ratio} (SNR).

Nyckelord: Detection and estimation; Modulation, coding, and diversity techniques for wireless; Physical-layer aspects of cellular networks



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Denna post skapades 2011-07-11. Senast ändrad 2016-02-01.
CPL Pubid: 143348

 

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Institutioner (Chalmers)

Institutionen för signaler och system, Kommunikationssystem (1900-2017)

Ämnesområden

Informations- och kommunikationsteknik
Telekommunikation
Signalbehandling
Elektroteknik

Chalmers infrastruktur