Chenguang Shi
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
Authors
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 | Jan 14, 2022 |
Journal | IEEE Transactions on Aerospace and Electronic Systems |
Print ISSN | 0018-9251 |
Electronic ISSN | 1557-9603 |
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 |
Public URL | https://durham-repository.worktribe.com/output/1220032 |
Files
Accepted Journal Article
(653 Kb)
PDF
Copyright Statement
© 2021 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
You might also like
5G to 6G: A Paradigm Shift in Radio Channel Modeling
(2022)
Journal Article
Downloadable Citations
About Durham Research Online (DRO)
Administrator e-mail: dro.admin@durham.ac.uk
This application uses the following open-source libraries:
SheetJS Community Edition
Apache License Version 2.0 (http://www.apache.org/licenses/)
PDF.js
Apache License Version 2.0 (http://www.apache.org/licenses/)
Font Awesome
SIL OFL 1.1 (http://scripts.sil.org/OFL)
MIT License (http://opensource.org/licenses/mit-license.html)
CC BY 3.0 ( http://creativecommons.org/licenses/by/3.0/)
Powered by Worktribe © 2024
Advanced Search