Research On Receiver Deployment Optimization For Multiple-input Single-output Passive Radar

Since third-party illuminators for passive radar system are uncontrollable,the optimal deployment of receiver can not only effectively improve the detection performance and localization performance with limited radar system resources.The deployment optimization of the receiver is the first problem to be solved.The study of this problem faces many difficulties such as the high complexity of the optimization model,the diversity of optimization criterion,and the instability of the solution algorithm.For the passive radar system with multiple emission sources,this paper focuses on the radar receiver deployment optimization method,which is based on two detection performance metrics(target sig nal-to-noise ratio and detection probability)and one localization metric(Geometric Dilution of Precision).The specific research contents are as follow:(1)In order to solving the problem of receiver deployment optimization for multiple-input single-output passive radar based on a single metric,an optimization model with average detection probability as an metric is proposed,and its feasibility is verified by simulation;The shortcomings of average targets ignal-to-noise ratio as an optimization metric is analyzed,and an improvement metric of the average normalized target signal-to-noise ratio is proposed;a receiver deployment optimization method based on GDOP coverage is proposed,and the effects of different error parameters on GDOP coverage and optimization results are pointed out.(2)In order to solving the problem of receiver deployment optimization for the multiple-input single-output passive radar based on multiple performance metrics,an optimization model based on average missed probability-GDOP coverage is established.NSGA-II algorithm is selected as the optimization algorithm to obtain the hybrid deployment optimization method,combining target detection and target localization.Pareto optimal sets of deployment optimization are simulated and analyzed in the specific situations,which both consider target detection capabilities and target localization coverage.