In order to enhance the radio frequency stealth performance of radar networks,a Joint Detection Threshold and Power Allocation Optimization(JDTPAO)Strategy for Multi-Target Tracking(MTT)in radar networks is studied in this paper.Firstly,based on the integrated structure of detection and tracking,the average detection probability in associated gate and the predicted Bayesian Cramér-Rao Lower Bound are respectively derived as the performance metrics for target detection and MTT.Subsequently,a joint detection threshold and power allocation optimization model for minimizing the total power consumption is formulated,in which the node selection,detection threshold and power allocation are to be optimized,and the predetermined detection and MTT performance requirements,as well as the limited transmit resource are considered as the constraints.To address this problem,an approach combining improved probabilistic data association algorithm and sequential quadratic programming is proposed.Simulation results indicate that the proposed strategy effectively reduces the power consumption of radar network while meeting the requirements for target detection and tracking,thereby improving the radio frequency stealth performance.
关键词
组网雷达/多目标跟踪(MTT)/射频隐身/检测门限/辐射功率
Key words
Radar network/Multi-Target Tracking(MTT)/Radio frequency stealth/Detection threshold/Transmit power
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