低复杂度的分布式粒子滤波盲均衡算法

doi:10.11772/j.issn.1001-9081.2014.06.1546

计算机应用 ›› 2014, Vol. 34 ›› Issue (6): 1546-1549.DOI: 10.11772/j.issn.1001-9081.2014.06.1546

低复杂度的分布式粒子滤波盲均衡算法

吴迪¹,曹海峰²,葛临东¹,彭华¹

1. 信息工程大学信息系统工程学院,郑州 450002
2. 江南计算技术研究所,江苏无锡 214083

收稿日期:2013-12-16 修回日期:2014-01-24 出版日期:2014-06-01 发布日期:2014-07-02
通讯作者: 吴迪
作者简介:吴迪(1984-),男,福建建阳人,博士研究生,主要研究方向:通信信号处理;曹海峰(1986-),男,山东临沂人,助理工程师,主要研究方向:信息处理;葛临东(1946-),男,山东济南人,教授,博士生导师,主要研究方向:通信信号处理、软件无线电;彭华(1973-),男,江西萍乡人,教授,博士生导师,主要研究方向:通信信号处理、软件无线电。
基金资助:
重庆市科委基础与前沿研究项目;河南省基础与前沿技术研究计划

Distributed particle filter algorithm with low complexity for cooperative blind equalization

WU Di¹,CAO Haifeng²,GE Lindong¹,PENG Hua¹

1. Institute of Information System Engineering, Information Engineering University, Zhengzhou Henan 450002, China;
2. Jiangnan Institute of Computing Technology, Wuxi Jiangsu 214083, China

Received:2013-12-16 Revised:2014-01-24 Online:2014-06-01 Published:2014-07-02
Contact: WU Di
Supported by:
National Natural Science Foundation

摘要/Abstract

摘要：

针对传统单接收节点盲均衡受信道影响大、误码率（BER）高的问题,提出了一种低复杂度的分布式粒子滤波盲均衡算法。该算法采用多个接收机组成无融合中心的分布式网络,使用分布式粒子滤波(DPF)合作估计共同的发送符号序列。为降低粒子采样复杂度,选用先验概率作为重要性函数;然后采用最小一致算法近似联合似然函数,从而使得每个接收节点的粒子权重达到一致。理论分析与仿真结果表明,该算法无需数据集中,具有更低的节点计算复杂度。全分布式的多接收机合作获得了空间分集增益,提高了系统误码性能。

Abstract:

The traditional blind equalization with single receiver is significantly influenced by fading channel, and has high Bit Err Ratio (BER). In order to improve the BER performance, a Distributed Particle Filter (DPF) algorithm with low complexity for cooperative blind equalization was proposed in cooperative receiver networks. In the proposed algorithm, multiple receivers composed distributed network with no fusion center, estimated the transmitted sequences cooperatively by using the distributed particle filter. In order to reduce the complexity of particle sampling, the prior probability was employed as importance function. Then the minimum consensus algorithm was used to evaluate the approximation of the global likelihood function across the receiver network, therefore, all nodes achieved the same set of particles and weights. The theoretical analysis and simulation results show that the proposed algorithm does not centralize data at a fusion center and reduces the computational complexity. The fully distributed cooperative scheme achieves spatial diversity gain and improves the BER performance.

中图分类号:

TN911

吴迪曹海峰葛临东彭华. 低复杂度的分布式粒子滤波盲均衡算法[J]. 计算机应用, 2014, 34(6): 1546-1549.

WU Di CAO Haifeng GE Lindong PENG Hua. Distributed particle filter algorithm with low complexity for cooperative blind equalization[J]. Journal of Computer Applications, 2014, 34(6): 1546-1549.

参考文献

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低复杂度的分布式粒子滤波盲均衡算法

Distributed particle filter algorithm with low complexity for cooperative blind equalization

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