Joint Transmitter Selection and Resource Management Strategy Based on Low Probability of Intercept Optimization for Distributed Radar Networks. Issue 9 (17th September 2018)

• Record Type: Journal Article
• Authors: Shi, C. G.; Wang, F.; Salous, S.; Zhou, J. J.
• Is Part Of: Radio science. Volume 53:Issue 9(2018)
• Page Start: 1108
• Page End: 1134
• Publication Date: 2018-09-17
• Subjects: l probability of intercept (LPI) -- intercept probability -- transmitter selection -- resource management -- target tracking -- radar networks; Radio meteorology -- Periodicals; Radio wave propagation -- Periodicals; 621.38405
• DOI: 10.1029/2018RS006584
• Languages: English
• ISSNs: 0048-6604

Abstract

Abstract: In this paper, a joint transmitter selection and resource management (JTSRM) strategy based on low probability of intercept (LPI) is proposed for target tracking in distributed radar network system. The basis of the JTSRM strategy is to utilize the optimization technique to control transmitting resources of radar networks in order to improve the LPI performance while guaranteeing a specified target‐tracking accuracy. The weighted intercept probability and transmit power of radar networks is defined and subsequently employed as the optimization criterion for the JTSRM strategy. The resulting optimization problem is to minimize the LPI performance criterion of radar networks by optimizing the revisit interval, dwell time, transmitter selection, and transmit power subject to a desired target‐tracking performance and some resource constraints. An efficient and fast three‐step solution technique is also developed to solve this problem. The presented mechanism implements the optimal working parameters based on the feedback information in the tracking recursion cycle in order to improve the LPI performance for radar networks. Numerical simulations are provided to verify the superior performance of the proposed JTSRM strategy. Key Points: The weighted intercept probability and transmit power of radar networks is defined and used as the LPI performance optimization criterion To support LPI optimization, a JTSRM strategy is developed and then formulated as an optimization problem We build a closed‐loop JTSRM framework for target tracking in distributed radar networks