摘要
针对微弱目标信号难以检测发现的问题,提出了采用基于动态规划的被动多传感器空时联合积累的检测前跟踪方法。该方法直接以被动多传感器的接收信号为输入,理论推导广义似然比,将其作为积累值函数并投影到位置-速度空间进行多传感器的空域积累,再结合检测前跟踪思路并采用动态规划算法实现多帧积累和检测判决,进一步提高目标检测概率和位置估计精度。仿真实验表明,所提方法能明显提高目标检测概率并降低位置估计误差。
Pointed at the problem that the weak target is difficult to be detected,a space-time track-before-detect(TBD)method with multiple passive sensors based on dynamic programming(DP)was proposed.The received signals from all sensors were used as input to the proposed method,and the general likelihood ratio was derived and applied as the integrated function.Then,the integrated function was projected into the position-velocity space for the space integration of multi-sensors.The multi-frame integration and detection were implemented by the DP-TBD method,and the target detection probability and the track estimation accuracy were improved further.The simulation results show that the target detection probability can be improved obviously by the proposed algorithm.
作者
宋科康
杨宇翔
刘成元
SONG Kekang;YANG Yuxiang;LIU Chengyuan(National Key Laboratory of Science and Technology on Blind Signal Processing, Chengdu 610041, China)
出处
《兵器装备工程学报》
CAS
北大核心
2020年第6期164-168,共5页
Journal of Ordnance Equipment Engineering
关键词
多传感器
动态规划
检测前跟踪
值函数
空时积累
multi-sensors
dynamic programming
track before detect
object function
space-time integration