Reduced-complexity soft-decision aided PSK detection

Xu, Chao, Liang, Dandan, Sugiura, Shinya, Ng, S.X. and Hanzo, Lajos (2012) Reduced-complexity soft-decision aided PSK detection. In, IEEE Vehicular Technology Conference (VTC) Fall 2012, Quebec, Canada, 03 - 09 Sep 2012.


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In this paper, we propose to reduce the complexity of both the Approx-Log-MAP algorithm as well as of the Max-Log-MAP algorithm, which were designed for soft-decision aided PSK detectors. First of all, we extend the shown a posteriori PSK symbol probability formula and streamline it by eliminating its unnecessary calculations in the context of the Approx-Log-MAP algorithm. Secondly, we reduce the complexity of the Max-Log-MAP algorithm, where the maximum a posteriori symbol probability may be obtained without evaluating and comparing all the candidate symbol probabilities. Furthermore, we apply our new soft detection arrangement to a variety of coded systems. Our simulation results demonstrate that a significant detection complexity reduction was achieved by our design without any performance loss. For example, a factor two complexity reduction was achieved by the proposed Max-Log-MAP algorithm, when it was invoked for detecting QPSK symbols, which is expected to be significantly higher, when invoked for 16QAM

Item Type: Conference or Workshop Item (Paper)
Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Divisions: Faculty of Physical Sciences and Engineering > Electronics and Computer Science > Comms, Signal Processing & Control
ePrint ID: 340956
Date Deposited: 11 Jul 2012 13:34
Last Modified: 27 Mar 2014 20:23
Further Information:Google Scholar
ISI Citation Count:0

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