DocumentCode :
2461078
Title :
Core matrix inversion techniques for SC/MMSE MIMO turbo equalization
Author :
Sarestoniemi, Mariella ; Matsumoto, Tad ; Kansanen, Kimmo ; Schneider, Christian
Author_Institution :
Centre for Wireless Commun., Oulu Univ., Finland
Volume :
1
fYear :
2004
fDate :
17-19 May 2004
Firstpage :
394
Abstract :
Conditional minimum mean square error (CMMSE) estimation problems commonly appear in iterative (turbo) signal detectors that utilize soft feedback from soft-input soft-output (SISO) channel decoders. To solve CMMSE problems, covariance matrix inverse has to be calculated for the output vector of soft-cancellation of interfering components, which requires a cubic order of computational complexity of the row size of the equivalent space-time channel matrix. This paper first proposes a computationally efficient method to calculate strictly the matrix inversion for CMMSE. It is shown that the proposed technique can be implemented in a highly pipelined manner. This paper also presents an approximated version of the algorithm that further reduces the computational complexity to a square order of the channel matrix´s row size without causing any significant loss in performance. Results of model-based and field measurement data-based simulations for the approximated version of the algorithm are presented.
Keywords :
MIMO systems; covariance matrices; decision feedback equalisers; interference suppression; iterative decoding; least mean squares methods; matrix inversion; pipeline processing; CMMSE; MIMO; SC/MMSE; SISO; channel matrix row size; conditional minimum mean square error estimation; covariance matrix inversion technique; interfering component soft cancellation; iterative signal detectors; minimum mean squared error filtering; pipelined implementation; soft canceller; soft feedback; soft-input soft-output channel decoders; space-time channel matrix; turbo equalization; Computational complexity; Covariance matrix; Detectors; Estimation error; Feedback; Iterative decoding; MIMO; Mean square error methods; Performance loss; Signal detection;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Vehicular Technology Conference, 2004. VTC 2004-Spring. 2004 IEEE 59th
ISSN :
1550-2252
Print_ISBN :
0-7803-8255-2
Type :
conf
DOI :
10.1109/VETECS.2004.1387982
Filename :
1387982
Link To Document :
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