摘要
为了解决回波的复杂性和不确定性导致雷达多目标跟踪精度降低的问题,给出一种图像确认的多目标跟踪方法。该方法通过序列图像获取目标部分相关参数,从而剔除与参数不相符的虚假回波和杂波;然后根据保留的目标回波更新所跟踪目标的测量新计算,从而减少了多目标跟踪中由无关回波和杂波干扰所造成的测量更新误差,提高了目标跟踪的精度。仿真实验结果表明,本算法在去除部分或全部杂波后,能够减小多目标跟踪的误差,使跟踪精度得到较大改善。
To solve the problem of multi-target tracking accuracy reduction caused by the complexity and uncertainty of the radar echoes,an image confirmed multi-target tracking algorithm is given.Firstly,partial relational parameters of the targets are obtained from the image sequence,so that the false echoes and clutter are eliminated.Then,the new measurement calculation of the tracked target is calculated according to the target echo.As a result,the proposed method reduces the measurement update error and improves the accuracy of target tracking.The simulation results show that the proposed algorithm reduces the error and improves the multi-target tracking accuracy greatly after removing partial or total clutter.
出处
《电子测量与仪器学报》
CSCD
2014年第6期617-624,共8页
Journal of Electronic Measurement and Instrumentation
基金
国家自然科学基金(61304098)资助项目
关键词
多目标跟踪
图像确认
杂波剔除
雷达信号处理
multi-target tracking
image confirmed
clutter eliminate
radar signal processing
