Joint Radar Node Scheduling and Resource Assignment in Radar Network for Multi-Target Tracking Under Spectrum Coexistence

Jing Dong, C. Shi, Wangyang Yu, Jianjiang Zhou, Junkun Yan
{"title":"Joint Radar Node Scheduling and Resource Assignment in Radar Network for Multi-Target Tracking Under Spectrum Coexistence","authors":"Jing Dong, C. Shi, Wangyang Yu, Jianjiang Zhou, Junkun Yan","doi":"10.1109/ICSPS58776.2022.00107","DOIUrl":null,"url":null,"abstract":"This paper proposes a joint radar node scheduling and resource assignment (JRNSRA) strategy in radar network for multi-target tracking under spectrum coexistence. The main purpose of this strategy is to minimize the multi-target tracking error under several transmit resource budgets of radar network. The expression of the predicted Bayesian Cramer-Rao lower bound (BCRLB) is derived and used to measure the target tracking performance. Since the JRNSRA strategy is a non-convex optimization problem, we propose a two-step solution algorithm to solve the resulting problem. Simulation results show that the JRNSRA strategy can achieve lower multi-target tracking error compared with other strategies under the same spectrum coexistence environment.","PeriodicalId":330562,"journal":{"name":"2022 14th International Conference on Signal Processing Systems (ICSPS)","volume":"10 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2022 14th International Conference on Signal Processing Systems (ICSPS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICSPS58776.2022.00107","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

Abstract

This paper proposes a joint radar node scheduling and resource assignment (JRNSRA) strategy in radar network for multi-target tracking under spectrum coexistence. The main purpose of this strategy is to minimize the multi-target tracking error under several transmit resource budgets of radar network. The expression of the predicted Bayesian Cramer-Rao lower bound (BCRLB) is derived and used to measure the target tracking performance. Since the JRNSRA strategy is a non-convex optimization problem, we propose a two-step solution algorithm to solve the resulting problem. Simulation results show that the JRNSRA strategy can achieve lower multi-target tracking error compared with other strategies under the same spectrum coexistence environment.
频谱共存下雷达网络多目标跟踪联合雷达节点调度与资源分配
提出了一种用于雷达网络中频谱共存条件下多目标跟踪的联合雷达节点调度与资源分配策略。该策略的主要目的是使雷达网络在多种传输资源预算下的多目标跟踪误差最小化。推导了预测贝叶斯Cramer-Rao下界(BCRLB)的表达式,并将其用于目标跟踪性能的度量。由于JRNSRA策略是一个非凸优化问题,我们提出了一个两步求解算法来解决由此产生的问题。仿真结果表明,在相同频谱共存环境下,与其他策略相比,JRNSRA策略可以实现更低的多目标跟踪误差。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:604180095
Book学术官方微信