基于动态规划的检测前跟踪算法中的目标鉴别方法  

Target Discrimination Method in Track-Before-Detect Based on Dynamic Programming

作　　者：刘睿 王文光[2] 邱朝阳 

机构地区：[1]中航雷达与电子设备研究院,江苏无锡214063 [2]北京航空航天大学,北京100191

出　　处：《火力与指挥控制》2011年第1期67-70,73,共5页Fire Control & Command Control

基　　金：中国航空基金资助项目(2007ZC07003)

摘　　要：基于动态规划的TBD算法是检测微弱目标的有效方法,但在多帧积累中的动态规划处理会导致目标和强噪声的扩散进而产生较多的虚警。提出了一种利用轨迹特征进行目标鉴别的新方法。该方法利用噪声引起虚警在轨迹上具有很强的随机性这一特点,基于多阶方向直方统计进行目标鉴别。另外,还提出了一种局部极大值法和方向直方统计法级联的目标鉴别方案。仿真结果表明,方向直方统计法在消除噪声引起的虚警和保留真实目标方面都有很好的效果。而新的级联鉴别方案对于噪声引起的虚警和目标扩散引起的虚警都有很好的鉴别效果。The TBD algorithm based on Dynamic Programming is an effective method for detecting dim target.But the DP process during the multi-frame integration causes the expansion of targets and strong noise which may produce a large amount of false targets.To reduce them,a new discrimination method which takes advantage of the feature of trajectory is proposed in this paper.The false alarm caused by noise reveals strong randomicity on its trajectory which is different from that caused by true target,and the new method based on the statistics of different level direction histogram can be used to reduce false targets caused by noise.Moreover a new concatenated discrimination scheme of SDH＋LEV is proposed.The simulation indicates that the discrimination method of SDH is good for reducing false alarms caused by noise and preserving real targets at the same time.The concatenated discrimination scheme can delete false alarms caused by noise and targets expansion effectively.

关 键 词：检测前跟踪 目标鉴别 方向直方统计 目标扩散 

分 类 号：TP393.04[自动化与计算机技术—计算机应用技术]