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24 August 2010 An iterative detection method of MIMO over spatial correlated frequency selective channel: using list sphere decoding for simplification
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Abstract
In multiple-input multiple-output(MIMO) wireless systems, combining good channel codes(e.g., Non-binary Repeat Accumulate codes) with adaptive turbo equalization is a good option to get better performance and lower complexity under Spatial Correlated Frequency Selective(SCFS) Channel. The key of this method is after joint antennas MMSE detection (JAD/MMSE) based on interruption cancelling using soft information, considering the detection result as an output of a Gaussian equivalent flat fading channel, and performing maximum likelihood detection(ML) to get more correct estimated result. But the using of ML brings great complexity increase, which is not allowed. In this paper, a low complexity method called list sphere decoding is introduced and applied to replace the ML in order to simplify the adaptive iterative turbo equalization system.
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Zhiping Shi and Bing Yan "An iterative detection method of MIMO over spatial correlated frequency selective channel: using list sphere decoding for simplification", Proc. SPIE 7810, Satellite Data Compression, Communications, and Processing VI, 78100N (24 August 2010); https://doi.org/10.1117/12.862381
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