一种新的单站被动跟踪方案

A New Method for Single Observer Passive Tracking

  • 摘要: 在被动跟踪系统中,只利用测向技术不能快速、高精度地跟踪目标,此外使用传统的EKF算法进行跟踪滤波,得到的误差较大,容易产生发散现象。该文提出利用相位变化率和SR-UKF算法相结合的方案,有效克服了上述问题,大大提高了跟踪的速度和精度,滤波器的稳定性也得到增强,跟踪性能得到提高,其有效性通过仿真得到了证明。

     

    Abstract: In passive tracking system, the method using bearings-only can't determine the position of target quickly with high precision. What is more, the EKF is traditional algorithm for passive tracking, but it produces large errors and easily leads to divergence. This paper introduces a new method using phase difference rate and SR-UKF algorithm. It can amend aforementioned flaws, lead to filter stability in use, and significantly improve the performance of tracking. The method is validated by the results of the simulation experiment.

     

/

返回文章
返回