检测低信噪比运动目标的改进DP算法  

Improved dynamic programming algorithm for low signal-to-noise ratio moving target detection

作　　者：王硕[1] 张奕群[1] 

机构地区：[1]北京电子工程总体研究所,北京100854

出　　处：《系统工程与电子技术》2016年第10期2244-2251,共8页Systems Engineering and Electronics

摘　　要：研究了用于检测低信噪比目标的动态规划(dynamic programming,DP)算法。鉴于传统各DP算法对低信噪比运动目标的检测能力较弱的问题,提出了一种改进算法。该算法利用二阶Markov模型描述目标的状态转移过程,并在此基础上将DP的目标寻优过程改进为一系列二维寻优的嵌套。这样,在充分考虑目标的各种运动可能性的前提下,改进算法仍能具有较小的目标搜索范围,从而改善了DP对低信噪比运动目标的检测性能。The dynamic programming （DP） algorithm for detecting dim targets is investigated. Due to the poor performance of detecting dim moving targets with traditional DP, an improved DP algorithm is proposed. The algorithm models the process of target state transition with a second-order Markov model, and on this basis transfers the optimization of traditional DP to a series of 2-dimensional optimizations. Thus, the target search region of the improved algorithm is narrowed on condition of considering a variety of target velocities, and the detection performance of dim moving targets for the DP algorithm is improved.

关 键 词：动态规划 二阶Markov模型 低信噪比 运动点目标 检测 

分 类 号：TN911.73[电子电信—通信与信息系统]