| 多水听器分布式扩展Kalman滤波融合算法 |
| |
| 引用本文： | 张安民,杨世兴,李志舜,韩崇昭. 多水听器分布式扩展Kalman滤波融合算法[J]. 系统工程与电子技术, 2004, 26(3): 304-306 |
| |
| 作者姓名： | 张安民 杨世兴 李志舜 韩崇昭 |
| |
| 作者单位： | 1. 西安交通大学电子与信息工程学院,陕西,西安,710049
2. 西北工业大学航海工程学院,陕西,西安,710072 |
| |
| 摘 要： | 数据融合是信号处理领域非常引人注目的问题。在极坐标系下改进了直角坐标系下的扩展Kalman滤波算法,利用多传感器融合的基本理论,提出了用于水下目标的多水听器分布式扩展Kalman滤波融合算法。分别在目标不发生规避和目标发生规避两种情形下进行了仿真实验。结果表明,所提出的融合算法具有很好的跟踪性能,非常适合于工程的实际应用。
|
| 关 键 词： | 数据融合 Kalman滤波 目标运动分析 |
| 文章编号： | 1001-506X(2004)03-0304-03 |
| 修稿时间： | 2002-10-17 |
Fusion algorithm of distributed Kalman filtering based on multiple hydrophones |
| |
| ZHANG An-min,YANG Shi-xing,LI Zhi-shun,HAN Chong-zhao. Fusion algorithm of distributed Kalman filtering based on multiple hydrophones[J]. System Engineering and Electronics, 2004, 26(3): 304-306 |
| |
| Authors: | ZHANG An-min YANG Shi-xing LI Zhi-shun HAN Chong-zhao |
| |
| Affiliation: | ZHANG An-min~1,YANG Shi-xing~2,LI Zhi-shun~2,HAN Chong-zhao~1 |
| |
| Abstract: | Data fusion has been a widely investigated question over the past twenty years. The extended Kalman filtering algorithm in cartesian coordinates is improved in polar coordinates. Subsequently, the fusion algorithm of distributed Kalman filtering based on multiple hydrophones is proposed using multi-sensors theory. The corresponding experiments are made under two conditions: non-evasive target and evasive target. It is shown that the algorithm has a good tracking performance, and it is also suited to engineering applying. |
| |
| Keywords: | data fusion Kalman filtering target motion analysis |
| 本文献已被 CNKI 万方数据 等数据库收录！ |
|
