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http://dx.doi.org/10.6109/jkiice.2014.18.7.1557

A Compressed Sensing-Based Signal Detection Technique for Generalized Space Shift Keying Systems  

Park, Jeonghong (Department of Information and Communication Engineering, Gyeongsang National University)
Ban, Tae Won (Department of Information and Communication Engineering, Gyeongsang National University)
Jung, Bang Chul (Department of Information and Communication Engineering, Gyeongsang National University)
Publication Information
Journal of the Korea Institute of Information and Communication Engineering / v.18, no.7, 2014 , pp. 1557-1564 More about this Journal
Abstract
In this paper, we propose a signal detection technique based on the parallel orthogonal matching pursuit (POMP) is proposed for generalized shift space keying (GSSK) systems, which is a modified version of the orthogonal matching pursuit (OMP) that is widely used as a greedy algorithm for sparse signal recovery. The signal recovery problem in the GSSK systems is similar to that in the compressed sensing (CS). In the proposed POMP technique, multiple indexes which have the maximum correlation between the received signal and the channel matrix are selected at the first iteration, while a single index is selected in the OMP algorithm. Finally, the index yielding the minimum residual between the received signal and the M recovered signals is selected as an estimate of the original transmitted signal. POMP with Quantization (POMP-Q) is also proposed, which combines the POMP technique with the signal quantization at each iteration. The proposed POMP technique induces the computational complexity M times, compared with the OMP, but the performance of the signal recovery significantly outperform the conventional OMP algorithm.
Keywords
Generalized space shift keying; Sparse signal recovery; Normalized compressed sensing; Spatial modulation; Multiple input and output system;
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