Cumulant-based inverse filter criteria for MIMO blind deconvolution: Properties, algorithms, and application to DS/CDMA systems in multipath

Cumulant-based inverse filter criteria for MIMO blind deconvolution: Properties, algorithms, and application to DS/CDMA systems in multipath
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DOI:
10.1109/78.928684
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发表时间:
2001-07-01
影响因子:
5.4
通讯作者:
Chen, CH
Chen, CH
中科院分区:
工程技术1区
文献类型:
--
作者:
Chi, CY;Chen, CH

文献摘要

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Tugnait和Chi和Chen提出了多输入多输出逆滤波准则利用高阶统计量对MIMO线性时不变系统进行盲解卷积的MIMO-IFC算法,本文提出了与MIMO-IFC相关的MIMO线性均衡器在任意信噪比下性能的三个性质,包括π)完美相位均衡性质,P2)与MIMO最小均方误差(MIMO-MMSE)均衡器的关系,以及P3)与通过MIMO超指数算法(MIMO-SEA)获得的关系,该超指数算法通常快速收敛但不保证有限数据的收敛。在P2)的基础上,提出了一种计算理论最优MIMO均衡器的快速算法。在P3)的基础上,提出了一种性能与MIMO-SEA相似且保证收敛的基于MIMO-IFC的快速算法,并将其应用于多用户异步DS/CDMA系统中多址干扰和码间干扰的抑制,最后给出了一些仿真结果,以支持分析结果和所提算法。
Tugnait and Chi and Chen proposed multi-input multi-output inverse filter criteria (MIMO-IFC) using higher order statistics for blind deconvolution of MIMO linear time-invariant systems, This paper proposes three properties on the performance of the MIMO linear equalizer associated with MIMO-IFC for any signal-to-noise ratio, including pi) perfect phase equalization property, P2) a relation to MIMO minimum mean square error (MIMO-MMSE) equalizer, and P3) a connection with the one obtained by MIMO super-exponential algorithm (MIMO-SEA) that usually converges fast but does not guarantee convergence for finite data. Based on P2), a fast algorithm for computing the theoretically optimum MIMO equalizer is proposed. Moreover, based on P3), a fast MIMO-IFC based algorithm with performance similar to that of the MIMO-SEA and with guaranteed convergence is proposed as well as its application to suppression of multiple access interference and intersymbol interference (ISI) for multiuser asynchronous DS/CDMA systems in multipath, Finally, some simulation results are presented to support the analytic results and the proposed algorithms.