| 摘要: |
| 针对多站测向无源定位系统提出了一种杂波环境下机动目标的被动跟踪算法———ＣＭＩＭＭＰＤＦ
算法。该算法首先用转换测量的卡尔曼滤波（ＣＭＫＦ）替代了传统的扩展卡尔曼滤波，克服
了后者精度不高易发散的缺点，并将其结合交互多模型（ＩＭＭ）算法及概率数据关联（ＰＤＦ）算法，有效
地完成了多站无源定位系统对杂波环境下机动目标的跟踪。仿真结果证明了该算法的有效性。 |
| 关键词: 无源定位系统 机动目标跟踪 转换测量卡尔曼滤波 交互多模型算法 概率数据关联算法 |
| DOI： |
|
| 基金项目: |
|
| Tracking Algorithm for Maneuvering Target in Multiple Passive Sensor System |
| CHEN Ling,CHEN De-huang |
| (Department of Aeronautic Electronic Engineering,The First Aeronautical Instit
ute of Air Force,Xinyang 464000,China) |
| Abstract: |
| An tracking algorithm of maneuvering target is proposed for multiple pa
ssive sensor system. It is called CM-IMMPDF algorithm. The converted measur
emen
t Kalman filter(CMKF) algorithm is used instead of the conventional extended Kal
man filter(EKF) to improve the tracking performance. The proposed algorithm comb
ines CMKF
with both Interactive Multiple Model(IMM) algorithm and Probabilistic Data Asso
ciation(PDA) algorithm. Simulation results show that the CM-IMMPDF algorithm
is effective to track a maneuvering target in clutter for multiple passive senso
r system. |
| Key words: passive sensor system maneuvering target tracking CMKF IMM algorithm PDF algorit
hm |
