Tracking target by multi-sensor fusion using adaptive Kalman filtering

LIANG Wei-xing; ZHOU Jie

doi:10.13873/j.1000-97872009.09.029

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Tracking target by multi-sensor fusion using adaptive Kalman filtering

更新时间：2025-09-11

- Tracking target by multi-sensor fusion using adaptive Kalman filtering
- Vol. 28, Issue 9, Pages: 40-43(2009)
- 作者机构：
  
  四川大学数学学院
- 作者简介：
- 基金信息：
- DOI：10.13873/j.1000-97872009.09.029
  CLC： TP202
- Published：2009
- 稿件说明：
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[1]梁卫星,周杰.多传感器跟踪系统自适应Kalman滤波融合[J].传感器与微系统,2009,28(09):40-43.

LIANG Wei-xing, ZHOU Jie. Tracking target by multi-sensor fusion using adaptive Kalman filtering[J]. 2009, 28(9): 40-43.
[1]梁卫星,周杰.多传感器跟踪系统自适应Kalman滤波融合[J].传感器与微系统,2009,28(09):40-43. DOI： 10.13873/j.1000-97872009.09.029.

LIANG Wei-xing, ZHOU Jie. Tracking target by multi-sensor fusion using adaptive Kalman filtering[J]. 2009, 28(9): 40-43. DOI： 10.13873/j.1000-97872009.09.029.

摘要

多传感器目标跟踪的一个实际问题是如何获得目标的过程噪声信息

以获得较好的跟踪性能。针对多传感器分布式估计融合系统

利用这种自适应技术给出了一种自适应Kalman滤波的融合方法

它具有与中心式相近的跟踪性能。计算机模拟结果表明:这种方法具有较优良的性能。

Abstract

The key problem of multi-sensor tracking targets is how to get the information of the process noise so as to get a good performance of tracking targets.The adaptive Kalman filter is used to track a maneuvering target under the system of the distributed estimation fusion.It has the asymptotical performance with the centralized system.Simulation shows that this technique has a good performance.

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