一种方位历程图中目标点迹的动提取方法

Automatic Target Extraction Algorithm Based on Bearing-Time-Record

针对在方位历程图上目标产生交叉或者两个目标相近时,常规的峰值检测方法的漏检概率比较高的问题,提出了一种峰值检测的改进方法,可以有效地对上述两种情况的目标进行检测,极大的提高了检测的性能。改进的峰值检测法利用接收的方位能量曲线的变化趋势,提取出可能的目标测量信息,在方位历程图上完成对目标的自动录取与跟踪。利用大量真实海洋环境下的实验数据对算法进行验证,验证的结果表明改进的峰值检测方法要优于常规的峰值检测方法。

The conventional peak detection has a higher probability of miss when targets get crossing or close to each other on the bearing-time-record(BTR).A new peak detection algorithm is presented to deal with the poor situations.The new peak detection algorithm detects the trend of the bearing and energy curve,determine what kind of peak it is and then extract the information.The algorithm is tested via lots of sea trials.The final result proves that the new peak detection is better than the conventional peak detection.