Space-time turbo equalization and symbol detection in frequency selective MIMO channels
Vehicular Technology Conference, 2001. VTC 2001 Fall. IEEE VTS 54th（2001）
摘要
A computationally efficient space-time turbo equalization algorithm is derived for frequency selective multiple-input multiple-output (MIMO) channels. The algorithm is an extension of the iterative equalization algorithm by Reynolds and Wang (2001) for frequency selective fading channels. This paper's proposed equalizer performs MIMO channel estimation, multiple user signal detection, and decoding, jointly all in an iterative manner. The iterative channel estimator achieves high accuracy in estimating channel parameters even if only a relatively small number of unique word symbols are available. The multiple user signal detector (MUSD) consists of soft interference cancellers for the multiple users, each followed by a minimum mean square error (MMSE) filter. With this simple structure, the proposed detector achieves a drastic reduction in computational complexity compared with conventional trellis-based turbo equalizers. Simulation results show the proposed equalizer can properly separate multiple user signals in frequency selective MIMO channels
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关键词
MIMO systems,adaptive filters,channel coding,equalisers,interference suppression,iterative decoding,least mean squares methods,multiuser channels,parameter estimation,signal detection,time-varying channels,turbo codes,MIMO channels,MMSE filter,channel estimation,computational complexity,frequency selective channels,iterative decoding,iterative equalization algorithm,minimum mean square error,multiple user signal detection,multiple-input multiple-output channels,parameter estimation,soft interference cancellers,space-time turbo equalization,symbol detection
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