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Joint Transmit Resource Management and Waveform Selection Strategy for Target Tracking in Distributed Phased Array Radar Network

Shi, Chenguang; Wang, Yijie; Salous, Sana; Zhou, Jianjaing; Yan, Junkun

Joint Transmit Resource Management and Waveform Selection Strategy for Target Tracking in Distributed Phased Array Radar Network Thumbnail


Authors

Chenguang Shi

Yijie Wang

Jianjaing Zhou

Junkun Yan



Abstract

In this paper, a joint transmit resource management and waveform selection (JTRMWS) strategy is put forward for target tracking in distributed phased array radar network. We establish the problem of joint transmit resource and waveform optimization as a dual-objective optimization model. The key idea of the proposed JTRMWS scheme is to utilize the optimization technique to collaboratively coordinate the transmit power, dwell time, waveform bandwidth, and pulse length of each radar node in order to improve the target tracking accuracy and low probability of intercept (LPI) performance of distributed phased array radar network, subject to the illumination resource budgets and waveform library limitation. The analytical expressions for the predicted Bayesian Cram\'{e}r-Rao lower bound (BCRLB) and the probability of intercept are calculated and subsequently adopted as the metric functions to evaluate the target tracking accuracy and LPI performance, respectively. It is shown that the JTRMWS problem is a non-linear and non-convex optimization problem, where the above four adaptable parameters are all coupled in the objective functions and constraints. Combined with the particle swarm optimization (PSO) algorithm, an efficient and fast three-stage-based solution technique is developed to deal with the resulting problem. Simulation results are provided to verify the effectiveness and superiority of the proposed JTRMWS algorithm compared with other state-of-the-art benchmarks.

Citation

Shi, C., Wang, Y., Salous, S., Zhou, J., & Yan, J. (2022). Joint Transmit Resource Management and Waveform Selection Strategy for Target Tracking in Distributed Phased Array Radar Network. IEEE Transactions on Aerospace and Electronic Systems, 58(4), 2762-2778. https://doi.org/10.1109/taes.2021.3138869

Journal Article Type Article
Online Publication Date Dec 28, 2021
Publication Date 2022-08
Deposit Date Jan 14, 2022
Publicly Available Date Mar 29, 2024
Journal IEEE Transactions on Aerospace and Electronic Systems
Print ISSN 0018-9251
Publisher Institute of Electrical and Electronics Engineers
Peer Reviewed Peer Reviewed
Volume 58
Issue 4
Pages 2762-2778
DOI https://doi.org/10.1109/taes.2021.3138869

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