DocumentCode :
1397232
Title :
Simple low-complexity detection schemes for M-ary quadrature amplitude modulation spatial modulation
Author :
Xu, Hao
Author_Institution :
Sch. of Eng., Univ. of KwaZulu-Natal, Durban, South Africa
Volume :
6
Issue :
17
fYear :
2012
Firstpage :
2840
Lastpage :
2847
Abstract :
In this study, the authors propose a simple low-complexity detection scheme for Nt×NrM-ary quadrature amplitude modulation spatial modulation that exhibits a much lower computational complexity compared to the conventional maximum-likelihood (ML) detection scheme. The proposed simple low-complexity detection scheme firstly detects the transmitted symbol for each transmit antenna based on modified suboptimal detection, and secondly chooses N (NNt) pairs of the most probable transmit antenna index and transmitted symbol subset, which the transmitted signal most probably belongs to, and finally searches the pair of transmit antenna index and transmitted symbol among these pairs. To further reduce detection complexity of the proposed simple detection scheme the authors also propose an adaptive detection scheme. Simulation results validate that the average bit-error-rate (BER) performance of the proposed simple detection scheme is almost the same as that of the conventional ML optimal detection with significant complexity reduction. Simulation results also show that the adaptive detection scheme can achieve optimal detection BER performance with further complexity reduction compared to the proposed simple low-complexity detection scheme.
Keywords :
error statistics; quadrature amplitude modulation; transmitting antennas; BER; M-ary quadrature amplitude modulation; ML detection; adaptive detection scheme; bit-error-rate; complexity reduction; computational complexity; low-complexity detection scheme; maximum-likelihood detection; spatial modulation; symbol subset; transmit antenna index;
fLanguage :
English
Journal_Title :
Communications, IET
Publisher :
iet
ISSN :
1751-8628
Type :
jour
DOI :
10.1049/iet-com.2012.0211
Filename :
6409530
Link To Document :
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