Resource saving based dwell time allocation and detection threshold optimization in an asynchronous distributed phased array radar network

作     者：Haowei ZHANG Weijian LIU Xiao YANG Haowei ZHANG;Weijian LIU;Xiao YANG

作者机构：Air and Missile Defense CollegeAir Force Engineering UniversityXi’an 710051China Air Force Early Warning AcademyWuhan 410039China Chinese People’s Liberation Army 93557 TroopsShijiazhuang 050000China 

出 版 物：《Chinese Journal of Aeronautics》 (中国航空学报（英文版）)

年 卷 期：2023年第36卷第11期

页      面：311-327页

核心收录：

学科分类：08[工学] 081105[工学-导航、制导与控制] 0804[工学-仪器科学与技术] 0811[工学-控制科学与工程] 

基　　金：supported by the National Natural Science Foundation of China(Nos.62001506 and 62071482) 

主　　题：Asynchronous data fusion Bayesian detector Phased Array Radar Network(PARN) Predicted Conditional CramE´R-Rao Lower Bound(PC-CRLB) Resource management 

摘      要：The resource optimization plays an important role in an asynchronous Phased Array Radar Network(PARN)tracking multiple targets with Measurement Origin Uncertainty(MOU),i.e.,considering the false alarms and missed detections.A Joint Dwell Time Allocation and Detection Threshold Optimization(JDTADTO)strategy is proposed for resource saving in this *** Predicted Conditional Cramér-Rao Lower Bound(PC-CRLB)with Bayesian Detector and Amplitude Information(BD-AI)is derived and adopted as the tracking performance *** optimization model is formulated as minimizing the difference between the PC-CRLBs and the tracking precision thresholds under the constraints of upper and lower bounds of dwell time and false alarm *** is shown that the objective function is nonconvex due to the Information Reduction Factor(IRF)brought by the MOU.A cyclic minimizer-based solution is proposed for problem *** results confirm the flexibility and robustness of the JDTADTO strategy in both sufficient and insufficient resource *** results also reveal the effectiveness of the proposed strategy compared with the strategies adopting the BD without detection threshold optimization and amplitude information.