A Novel Sensor Selection and Power Allocation Algorithm for Multiple-Target Tracking in an LPI Radar NetworkReport as inadecuate


A Novel Sensor Selection and Power Allocation Algorithm for Multiple-Target Tracking in an LPI Radar Network


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Key Laboratory of Radar Imaging and Microwave Photonics, Ministry of Education, Nanjing University of Aeronautics and Astronautics, Nanjing 211106, China





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Academic Editors: Xue-Bo Jin, Feng-Bao Yang, Shuli Sun and Hong Wei

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. View Full-Text

Keywords: low probability of intercept LPI; mutual information MI; multiple-target tracking; radar network low probability of intercept LPI; mutual information MI; multiple-target tracking; radar network





Author: Ji She, Fei Wang and Jianjiang Zhou *

Source: http://mdpi.com/



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