Set-partitioning based forward/backward soft decision algorithms for MIMO detection

Malladi, R and Kuchi, K and Koilpillai, R D (2012) Set-partitioning based forward/backward soft decision algorithms for MIMO detection. In: 9th International Conference on Signal Processing and Communications, 22-25, July 2012, Bangalore; India.

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Abstract

A near maximum a posteriori (MAP)-optimal soft detector that outputs a posteriori probabilities (APP's) for multiple-input multiple-output (MIMO) systems in flat fading channels is proposed. This is referred to as 'reduced state maximum a posteriori (RSMAP)' algorithm. This detection algorithm is based on BCJR algorithm and also uses ideas from reduced state sequence estimation (RSSE) and set partitioning. This algorithm is shown to be near optimal and the computational complexity to implement it is estimated. Finally we also show that applying the well known max-log approximation on this algorithm results in nearly same performance at much lower complexity.

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IITH Creators:
IITH CreatorsORCiD
Kuchi, KUNSPECIFIED
Item Type: Conference or Workshop Item (Paper)
Uncontrolled Keywords: A-posteriori probabilities; BCJR algorithm; Detection algorithm; Flat-fading channels; Lower complexity; Maximum a posteriori; MIMO detection; Multiple-input-multiple-output systems; Reduced-state; Reduced-state sequence estimation; Set partitioning; Soft decision; Soft detector
Subjects: Physics > Electricity and electronics
Divisions: Department of Electrical Engineering
Depositing User: Mr. Siva Shankar K
Date Deposited: 15 Oct 2014 11:00
Last Modified: 10 Apr 2015 10:27
URI: http://raiith.iith.ac.in/id/eprint/442
Publisher URL: http://dx.doi.org/10.1109/SPCOM.2012.6290010
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