Title :
Reduced Complexity and Performance Comparison of The SISO-MMSE Receivers for MIMO Channels
Author :
Wang, Kaihua ; Xu, Qing ; Tang, JianChun ; Zhang, ZhiGang ; Xu, Jilin
Author_Institution :
Electron. Eng. Coll., Univ. of Electron. Sci. & Technol., Chengdu
Abstract :
An a posteriori probability (APP) detector for multiple antenna channels has presented in . It has the high advantage of providing good performance but has an NP complexity, we studied near capacity and near outage performance over multiple antenna channels thanks to optimized bit interleaved coded modulations (BICM) . We will now present a sub-optimal soft-input soft-ouput (SISO) detector based on the minimum mean square error (MMSE) criterion. Such a SISO-MMSE equalizer has been presented in the case of single antenna dispersive channel. We describe the direct application to MIMO channels and present supplementary complexity reductions. Comparison between the shifted list sphere decoder and the list sphere decoder centered on the received point. Performance comparison for equal performance - Performance comparison for equal complexity.
Keywords :
MIMO communication; antenna arrays; computational complexity; equalisers; interleaved codes; least mean squares methods; maximum likelihood detection; modulation coding; MIMO channels; NP complexity; SISO-MMSE equalizer; SISO-MMSE receivers; a posteriori probability detector; bit interleaved coded modulations; list sphere decoder; minimum mean square error criterion; multiple antenna channels; multiple-input multiple-output channels; near outage performance; single antenna dispersive channel; sub-optimal soft-input soft-ouput detector; supplementary complexity reductions; AWGN channels; Decoding; Detectors; Educational institutions; Equalizers; Information technology; Interleaved codes; MIMO; Mean square error methods; Modulation coding;
Conference_Titel :
Wireless Communications, Networking and Mobile Computing, 2008. WiCOM '08. 4th International Conference on
Conference_Location :
Dalian
Print_ISBN :
978-1-4244-2107-7
Electronic_ISBN :
978-1-4244-2108-4
DOI :
10.1109/WiCom.2008.109