临近空间高超声速目标修正随机Hough变换TBD算法  

A Modified Randomized Hough Transform TBD Algorithm for Hypersonic Target in Near Space

作　　者：李岳峰 王国宏[1] 李林[1] 张翔宇[1] LI Yue-feng WANG Guo-hong LI Lin ZHANG Xiang-yu(Institute of Information Fusion, Naval Aeronautical and Astronautical University, Yantai 264001, China)

机构地区：[1]海军航空工程学院信息融合研究所,烟台264001

出　　处：《宇航学报》2017年第10期1114-1123,共10页Journal of Astronautics

基　　金：国家自然科学基金(61731023;61372027;61501489;61671462;61701519);"泰山学者"建设工程专项经费资助项目

摘　　要：针对临近空间高超声速目标的检测跟踪问题,提出一种修正的随机Hough变换检测前跟踪算法。首先,为尽可能克服远距离条件下角度误差带来的较大位置偏差,通过解耦的方式将量测点迹映射至精度较高的径向距离-时间平面进行检测;然后,为更合理地合并参数空间特征点并提升积累效率,构建检验统计量并与自适应门限进行比较,将特征点合并问题转换成两个正态总体均值差的自适应假设检验问题,并利用点数积累与能量积累相结合的双重积累方式进行积累检测;最后,为进一步降低虚假航迹数,引入运动约束和航迹合并措施,得到最终按时序关联的检测航迹。仿真结果表明,相比标准Hough变换检测前跟踪算法,本文算法在检测概率相差不大的情况下具有更少虚假航迹和更低运行时间。Aiming at the detection and tracking issue for near-space hypersonic target,a modified randomized Hough transform track-before-detect algorithm is proposed. Firstly,to overcome the large positional deviation from the angle error under long distance,measurements are mapped into the range-time plane with a higher accuracy by decoupling. Then,to merge the feature points in the parameter space more reasonably and improve the accumulation efficiency,the test statistics is built to compare with the adaptive threshold,so that the merging of the feature points is transformed into the adaptive mean difference hypothesis testing of two normal populations. Double integration means of noncoherent integration and binary integration is also adopted for the accumulation detection. Finally,to further reduce the false trajectories,motion constraints and trajectory merging are introduced for the final detected trajectory after sequence association. Simulation results show that,compared with the standard Hough transform track-before-detect algorithm,the proposed algorithm has fewer false trajectories and less run time with close detection probability.

关 键 词：临近空间 高超声速目标 检测前跟踪 随机HOUGH变换 特征点合并 

分 类 号：V243.2[航空宇航科学与技术—飞行器设计] TN957[电子电信—信号与信息处理]