一种新的序列蒙特卡罗分布式盲均衡算法

C. Bordin, Marcelo G. S. Bruno
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引用次数: 0

摘要

本文提出了一种适用于频率选择信道CDMA系统的基于粒子滤波的分布式盲均衡算法。该方法以非集中式方式处理多个接收器接收的信号,确定传输符号的近似最优估计(MAP),从而使预期错误率最小化。所描述的接收器结构不需要数据融合中心,并且能够独立运行或与其他接收器合作运行。正如我们通过数值模拟验证的那样,协作操作可以显著提高性能,而不会大幅增加算法和计算复杂度。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A new sequential Monte Carlo algorithm for distributed blind equalization
This article describes a new distributed blind equalization algorithm based on particle filters suitable for CDMA systems operating on frequency-selective channels. The proposed approach processes the signal received by multiple receivers in a non-centralized fashion, determining approximately optimal estimates (MAP) of the transmitted symbols, which minimizes the expected error rate. The described receiver structure dispenses with the need of a data fusion center, and is capable of operating either independently or in cooperation with other receivers. As we verified via numerical simulations, cooperative operation leads to a significant performance improvement, without substantially increasing the algorithmpsilas computational complexity.
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