A novel resource scheduling method of netted radars based on Markov decision process during target tracking in clutter

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.

Stackelberg Game-Theoretic Low Probability of Intercept Performance Optimization for Multistatic Radar System

“…denotes the Doppler steering vector of radar i with respect to the target, f D,i is the Doppler shift associated with the radar i, M is the number of received pulses during the dwell time, and φ i is the predesigned waveform emitted from radar i. i represents the channel gain at the direction of the target, P i is the transmit power of radar i, ξ i,j stands for the cross gain between radar i and j, and n i denotes a zero-mean white Gaussian noise with variance σ 2 n . It is assumed that…”

“…With the recent technology development of advanced passive intercept systems, it is highly important to find a solution to the problem of low probability of intercept (LPI) performance enhancement for different radar systems caused by this trend [1]. In theory, low radiated power [2][3][4], short dwell time [5,6], large revisit interval [7], adaptive beamforming [8][9][10], and waveform optimization [11] will result in improved LPI performance. In recent years, researchers have developed a great number of techniques to satisfy the LPI performance requirement.…”

“…In recent years, researchers have developed a great number of techniques to satisfy the LPI performance requirement. For example, in [2], the revisit interval, transmit power, and waveform parameters are jointly optimized to improve the LPI performance for radar networks. In [4], an LPI-bsaed joint transmitter selection and resource management scheme is proposed for single target tracking in radar network, where the LPI performance criterion of radar network is minimized by optimizing the revisit interval, dwell time, transmitter selection, and transmit power while maintaining a specified target tracking accuracy.…”

Joint Transmitter Selection and Resource Management Strategy Based on Low Probability of Intercept Optimization for Distributed Radar Networks

“…Zhang et al () proposed a cooperation algorithm of radar network system for multiple‐target tracking in clutter, where the radar with the minimum transmitted power is selected for better LPI performance. As an extension, Zhang and Tian () developed a resource‐scheduling scheme, whose basis is to adjust the revisit interval, transmit power, and carrier frequency of the selected radar, with the purpose of minimizing the transmitted power of radar network. In practical scenario, owing to the limitations on transmission rate, communication bandwidth, and LPI performance, only a few radar nodes are available at any given time (Xie et al, ).…”

Radar Selection Method Based on an Improved Information Filter in the LPI Radar Network

“…As we know, low probability intercept (LPI) is one of the important features of modern radars. LPI optimization strategy is proposed in radar network architectures in [2,3], where transmit power is minimized among netted phased array radars. The paper [4] studies the problem of scheduling the searching, verification, and tracking tasks of the military surveillance radar.…”