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| 一种改进粒子滤波的双站无源定位跟踪算法 | |
| 引用本文： | 贺静波,黄高明,彭复员.一种改进粒子滤波的双站无源定位跟踪算法[J].电子信息对抗技术,2007,22(6):19-22,49. |
| 作者姓名： | 贺静波 黄高明 彭复员 |
| 作者单位： | 1. 华中科技大学,电子与信息工程系,武汉,430074;海军工程大学,电子工程学院,武汉,430033 2. 海军工程大学,电子工程学院,武汉,430033 3. 华中科技大学,电子与信息工程系,武汉,430074 |
| 摘 要： | 在非线性非高斯状态空间下，粒子滤波器是一种有效的非线性滤波算法，它的关键问题包括粒子权重的计算、粒子重采样和状态估计等。本文根据粒子滤波算法思想和双站无源定位跟踪的非线性，将粒子滤波算法用于双站无源定位跟踪问题，给出了一种改进的粒子滤波算法，并对其关键问题根据双站无源定位跟踪的特殊性进行了改进。利用Matlab进行了仿真实验，与最小二乘算法、扩展卡尔曼滤波算法进行了比较，结果表明所提算法定位跟踪精度优于其他方法。 |
| 关 键 词： | 粒子滤波 最小二乘滤波 扩展卡尔曼滤波 无源定位 算法 |
| 文章编号： | CN51-1694（2007）06-0019-04 |
| 修稿时间： | 2007-05-22 |
An Improvement Particle Filtering Algorithm for Passive Location Tracking |
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| Authors: | HE Jing-bo HUANG Gao-ming PENG Fu-yuan |
| Affiliation: | 1 Institute of Electronic and Information Engineering, Huazhong University of Science and Technology, Wuhan 430074,China ; 2. Electronics Eng. College,Naval Univ. of Engineering,Wuhan 430033 ,China |
| Abstract: | Particle filtering algorithm is an effective non-linear filter in the non-linear and non- Gaussian state. Its key issues are weights computing, resampling and state estimation. According to the particle filter and the nonlinear of passive location, a new passive location algorithm based on an improvement particle filter is presented that is used in passive location tracking, and its key issues are improved on the particularity of passive location tracking. It is compared with linear minimum mean-square error filtering and extended Kalman filtering in passive location. Experiments are made in Matlab. It is proved that the location error by an improvement particle filtering is less than that by other algorithms. |
| Keywords: | particle filtering linear minimum mean-square error fihering extended Kalman filtering passive location algorithm |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ | |