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单站无源定位中的一种简单粒子滤波算法

A Simple Particle Filtering in Single Observer Passive Location
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摘要 提出了一种简单的正则粒子滤波,克服了标准粒子滤波在用于单站无源定位中时出现的粒子匮乏现象,将粒子滤波成功的应用到了无源定位中.通过计算机仿真表明,这种简单的正则粒子滤波能有效缩短定位时间,提高定位精度. A simple regularized particle filter is described. Particle filter is successfully introduced into single observer passive location. It is shown that the standard particle filter in this case suffers from sample impoverishment seriously. The simple regularized particle filter can overcome this phenomenon, and simulations show that this algorithm can shorten the time of location and improve the precision.
作者 谭爱国
机构地区 湖北民族学院信息工程学院
出处 《湖北民族学院学报（自然科学版）》 CAS 2007年第4期411-414,共4页 Journal of Hubei Minzu University(Natural Science Edition)
关键词 无源定位 贝叶斯估计 粒子滤波 重采样 正则粒子滤波 passive location Bayesian estimation particle filter resampling regularized particle filter
分类号 TN971.3 [电子电信—信号与信息处理]
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参考文献9

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二级参考文献73

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湖北民族学院学报（自然科学版）
2007年 第4期

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