Abstract
Radar networks are proven to have numerous advantages over traditional monostatic and bistatic radar. With recent developments, radar networks have become an attractive platform due to their low probability of intercept (LPI) performance for target tracking. In this paper, a joint sensor selection and power allocation algorithm for multiple-target tracking in a radar network based on LPI is proposed. It is found that this algorithm can minimize the total transmitted power of a radar network on the basis of a predetermined mutual information (MI) threshold between the target impulse response and the reflected signal. The MI is required by the radar network system to estimate target parameters, and it can be calculated predictively with the estimation of target state. The optimization problem of sensor selection and power allocation, which contains two variables, is non-convex and it can be solved by separating power allocation problem from sensor selection problem. To be specific, the optimization problem of power allocation can be solved by using the bisection method for each sensor selection scheme. Also, the optimization problem of sensor selection can be solved by a lower complexity algorithm based on the allocated powers. According to the simulation results, it can be found that the proposed algorithm can effectively reduce the total transmitted power of a radar network, which can be conducive to improving LPI performance.
Highlights
In recent decades, low probability of intercept (LPI) radar networks have received great attention from academic researchers and radar engineers [1,2]
Each transmitter and each receiver in the radar network synchronizes to an accurate clock which is calibrated by global position system (GPS)
The problem of LPI design in radar network architecture for multiple-target tracking the radar network can be obtained by employing the algorithm proposed in this paper
Summary
LPI radar networks have received great attention from academic researchers and radar engineers [1,2]. References [19,20,21,22] are the representative works published in the subject of optimization problem concerning sensor selection and power allocation in multiple-target scenarios. Xie et al [22] proposed a joint selection and power allocation (JSPA) strategy for multiple-target tracking in the decentralized radar network to support the resource aware design. The problem of sensor selection and power allocation to realize LPI optimization of radar network system in multiple-target scenarios, which has never been taken into consideration, needs to be analyzed in detail.
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