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Reduced-complexity soft-decision aided PSK detection

Record type: Conference or Workshop Item (Paper)

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

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Citation

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

More information

Published date: 3 September 2012
Venue - Dates: IEEE Vehicular Technology Conference (VTC) Fall 2012, Canada, 2012-09-03 - 2012-09-09
Organisations: Southampton Wireless Group

Identifiers

Local EPrints ID: 340956
URI: http://eprints.soton.ac.uk/id/eprint/340956
PURE UUID: 3e92cb16-00d9-4789-8890-ccf4607d7dd1

Catalogue record

Date deposited: 11 Jul 2012 13:34
Last modified: 18 Jul 2017 05:40

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Contributors

Author: Chao Xu
Author: Dandan Liang
Author: Shinya Sugiura
Author: S.X. Ng
Author: Lajos Hanzo

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