Abstract
In order to improve the radio frequency stealth ability of phased array radars, a novel resource scheduling method of the radar network for target tracking in clutter is presented. Firstly, the relationship model between radar resource and tracking accuracy is built, and the sampling interval, power, and waveform will influence predicted error covariance matrix through transition matrix and measurement noise. Then, radar resource scheduling algorithm based on Markov decision process which is converted to be a binary optimization problem is proposed, and an improved binary wind-driven optimization method is presented to solve that problem. The radar and its radiation parameters will be selected for better radio frequency stealth performance and tracking accuracy. Simulation results show that the proposed algorithm not only has excellent tracking accuracy in clutter but also has better radio frequency stealth ability comparing with other methods.
Highlights
Low probability intercept (LPI) is one of the important features of modern radars
Another LPI optimization strategy is proposed for target tracking in radar network architectures in [7, 8], where Schleher intercept factor is minimized by optimizing transmission power allocation among netted phased array radars in the network
6 Conclusions In this paper, we have presented a new resource scheduling method for the radar network based on MDP
Summary
Low probability intercept (LPI) is one of the important features of modern radars. In order to improve the LPI performance, we need to reduce the radar cross section (RCS) and the radiation of the radars which is called radio frequency stealth (RFS) [1]. For the resource allocation of phased array radars in the network, this paper will present a novel scheduling method of sampling interval, power, and waveform parameters in a limited library during tracking in clutter. The predicted state and covariance of model t at time k can be represented as: x^tkjk−1 1⁄4 F t x^0kt−1jk−1. The updated state and covariance with the ith measurement can be represented as: x^ti;kjk 1⁄4 x^tkjk−1 þ Gtk rti;k ð9Þ. Á−1 r t i;k ð14Þ where Wk is the number of validated measurements at time k, bk = Wk(1 − PD,k|k − 1)(PD,k|k − 1Vk)− 1, PD,k|k − 1 is the detection probability, and Vk represents the validation region. The proposed radar resource scheduling method is proposed based on IMMPDA
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