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Joint Dwell Time and Bandwidth Optimization for Multi-Target Tracking in Radar Network Based on Low Probability of Intercept

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Bibliographic Details
Title: Joint Dwell Time and Bandwidth Optimization for Multi-Target Tracking in Radar Network Based on Low Probability of Intercept
Authors: Lintao Ding, Chenguang Shi, Wei Qiu, Jianjiang Zhou
Source: Sensors, Vol 20, Iss 5, p 1269 (2020)
Publisher Information: MDPI AG
Publication Year: 2020
Collection: Directory of Open Access Journals: DOAJ Articles
Subject Terms: low probability of intercept (lpi), bayesian cramer–rao lower bound (bcrlb), multi-target tracking, radar network, Chemical technology, TP1-1185
Description: Radar network systems have been demonstrated to offer numerous advantages for target tracking. In this paper, a low probability of intercept (LPI)-based joint dwell time and bandwidth optimization strategy is proposed for multi-target tracking in a radar network. Since the Bayesian Cramer–Rao lower bound (BCRLB) provides a lower bound on parameter estimation, it can be utilized as the accuracy metric for target tracking. In this strategy, in order to improve the LPI performance of the radar network, the total dwell time consumption of the underlying system is minimized, while guaranteeing a predetermined tracking accuracy. There are two adaptable parameters in the optimization problem: one for dwell time, and the other for bandwidth allocation. Since the nonlinear programming-based genetic algorithm (NPGA) can solve the nonlinear problem well, we develop a method based upon NPGA to solve the resulting problem. The simulation results demonstrate that the proposed strategy has superiority over traditional algorithms, and can achieve a better LPI performance of this radar network.
Document Type: article in journal/newspaper
Language: English
Relation: https://www.mdpi.com/1424-8220/20/5/1269; https://doaj.org/toc/1424-8220; https://doaj.org/article/b1f3b2444b8946d7acb36a3768f6fb2f
DOI: 10.3390/s20051269
Availability: https://doi.org/10.3390/s20051269
https://doaj.org/article/b1f3b2444b8946d7acb36a3768f6fb2f
Accession Number: edsbas.60025677
Database: BASE
Description
Abstract:Radar network systems have been demonstrated to offer numerous advantages for target tracking. In this paper, a low probability of intercept (LPI)-based joint dwell time and bandwidth optimization strategy is proposed for multi-target tracking in a radar network. Since the Bayesian Cramer–Rao lower bound (BCRLB) provides a lower bound on parameter estimation, it can be utilized as the accuracy metric for target tracking. In this strategy, in order to improve the LPI performance of the radar network, the total dwell time consumption of the underlying system is minimized, while guaranteeing a predetermined tracking accuracy. There are two adaptable parameters in the optimization problem: one for dwell time, and the other for bandwidth allocation. Since the nonlinear programming-based genetic algorithm (NPGA) can solve the nonlinear problem well, we develop a method based upon NPGA to solve the resulting problem. The simulation results demonstrate that the proposed strategy has superiority over traditional algorithms, and can achieve a better LPI performance of this radar network.
DOI:10.3390/s20051269