Signal Detection in MIMO-OFDM Systems Based on SSDE Algorithm

Device-to-device communication enables to improve the application performance of multi-input multi-output (MIMO) technology. In a multi-input multi-output orthogonal frequency division multiplexing (MIMO-OFDM) system, its performance is largely reflected by the signal detection algorithm used in rec...

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Veröffentlicht in:Wireless personal communications Jg. 82; H. 4; S. 2709 - 2725
Hauptverfasser: Hu, Fengye, Du, Yu, Cen, Ling, Ma, Kai, Wang, Lu
Format: Journal Article
Sprache:Englisch
Veröffentlicht: New York Springer US 01.06.2015
Schlagworte:
Communications Engineering
Computer Communication Networks
Engineering
Networks
Signal,Image and Speech Processing
ML detection
MIMO-OFDM
SSDE
Sub-optimal ML detection
ISSN:0929-6212, 1572-834X
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Zusammenfassung:Device-to-device communication enables to improve the application performance of multi-input multi-output (MIMO) technology. In a multi-input multi-output orthogonal frequency division multiplexing (MIMO-OFDM) system, its performance is largely reflected by the signal detection algorithm used in receiver. As a sub-optimal maximum likelihood (ML) detection method, the Selective Spanning with Fast Enumeration algorithm can be successfully applied in MIMO-OFDM systems with high-order modulation. However, its Fast Enumeration scheme calculates constellation points based on fixed formula, which tends to yield pseudo constellation points outside of constellation maps, and consequently cannot work well in low-order modulation. To address this, a selective spanning with direct enumeration (SSDE) algorithm is proposed in this paper. Simulation results proved that the SSDE can achieve similar detection performance at a much lower computational cost in comparison with the ML method. The performance in terms of bit error rate (BER) obtained by SSDE method is also superior to those from the Minimum mean square error and Zero forcing detection algorithms with a huge savings in computational load. By adjusting the parameters used in the SSDE, the tradeoff between BER and computation complexity can be flexibly changed to satisfy specific design requirements in different applications.
ISSN:0929-6212
1572-834X
DOI:10.1007/s11277-015-2374-6