摘要
提出了一种改进的结构化分支多假设跟踪算法,来解决边搜索边跟踪雷达系统中多目标跟踪问题。新方法通过调整假设产生机制,引入目标径向速度信息到航迹置信度函数,并采用UKF滤波算法,实现处理时间的显著缩短和跟踪稳定性的提高。大量数值仿真结果进一步证明了新方法的这些优势,验证其有效性和实用性。
A modified structured branching multiple hypothesis tracking algorithm was proposed to solve multiple target tracking problems of modern radar systems in this paper. The algorithm can significantly reduce the computation time and numerical stability by adjusting its hypothesis generation logic, introducing target Doppler information to its truth likelihood formula, and utilizing unscented Kalman filter. As numerous numerical simulations indicated, the proposed method is effective and practical with the above features.
出处
《现代雷达》
CSCD
北大核心
2011年第12期28-32,共5页
Modern Radar
关键词
数据互联
多假设跟踪
置信度
multiple target tracking
multiple hypothesis tracking
truth likelihood