An adaptive waveform-detection threshold joint optimization method for target tracking

作     者：王宏强 夏洪恩 程永强 王璐璐 

作者机构：School of Electronic Science and EngineeringNational University of Defense Technology 66242 PLA Troops 

出 版 物：《Journal of Central South University》 (中南大学学报（英文版）)

年 卷 期：2013年第20卷第11期

页      面：3057-3064页

核心收录：

学科分类：080904[工学-电磁场与微波技术] 0809[工学-电子科学与技术（可授工学、理学学位）] 08[工学] 0810[工学-信息与通信工程] 0806[工学-冶金工程] 081105[工学-导航、制导与控制] 080203[工学-机械设计及理论] 0805[工学-材料科学与工程（可授工学、理学学位）] 0703[理学-化学] 081001[工学-通信与信息系统] 0802[工学-机械工程] 081002[工学-信号与信息处理] 0825[工学-航空宇航科学与技术] 0811[工学-控制科学与工程] 0812[工学-计算机科学与技术（可授工学、理学学位）] 

基　　金：Project(61171133) supported by the National Natural Science Foundation of China Project(11JJ1010) supported by the Natural Science Fund for Distinguished Young Scholars of Hunan Province,China 

主　　题：cognitive radar adaptive waveform selection target tracking joint optimization detection-tracking system 

摘      要：The joint optimization of detection threshold and waveform parameters for target tracking which comes from the idea of cognitive radar is investigated for the modified probabilistic data association(MPDA)*** transmitted waveforms and detection threshold are adaptively selected to enhance the tracking *** modified Riccati equation is adopted to predict the error covariance which is used as the criterion function,while the optimization problem is solved through the genetic algorithm(GA).The detection probability,false alarm probability and measurement noise covariance are all considered together,which significantly improves the tracking performance of the joint detection and tracking *** results show that the proposed adaptive waveform-detection threshold joint optimization method outperforms the adaptive threshold method and the fixed parameters method,which will reduce the tracking *** average reduction of range error between the adaptive joint method and the fixed parameters method is about 0.6 m,while that between the adaptive joint method and the adaptive threshold only method is about 0.3 *** error reduction occurs for the velocity error and acceleration error.