宽带移动通信中基于天线阵列的信道识别与序列估计

T. Matsumoto
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引用次数: 1

摘要

本文提出将天线阵列和序列估计技术联合应用于严重ISI干扰下的多径衰落信道均衡。研究表明,适当使用多堆栈算法(MSA),利用多个天线阵列单元接收到的信号的冗余结构,可以增强序列估计的唯一性,从而显著降低帧擦除概率。提出了三种新的矢量信道识别算法,并将其结果用于SSE的Fano度量计算。第一种算法只使用时间引用,其他算法同时使用时间和空间引用。从信道识别精度、总帧擦除率(ERR)和误码率(BER)两个方面研究了时空参考对信道识别精度的影响。计算机仿真结果比较了三种算法的性能。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Channel identification and sequential sequence estimation using antenna array in broadband mobile communications
This paper proposes the joint use of antenna array and sequential sequence estimation (SSE) technique for the equalization of multipath fading channels suffering from severe ISI. It is shown that with the proper use of the multiple stack algorithm (MSA), exploiting the redundant structure of the signal received by multiple antenna array elements can enhance the uniqueness of the sequence estimation, thereby significantly reducing the frame erasure probability. Three new algorithms are derived for vector channel identification, the results of which are used to calculate the Fano metric for SSE. The first algorithm uses just a temporal reference, and others use both temporal and spatial references. The impacts of using the temporal and spatial references are investigated in terms of the channel identification accuracy as well as overall frame erasure rate (ERR) and bit error rate (BER). The results of computer simulations are presented to compare the performances of the three algorithms.
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