一种改进联合雷达通信波形设计的乘法器交替方向法罚参数选择优化

IF 2.9 3区 工程技术 Q2 ENGINEERING, ELECTRICAL & ELECTRONIC
Ahmed Saleem, Abdul Basit, Muhammad Fahad Munir, Wasim Khan, Aqdas Naveed Malik
{"title":"一种改进联合雷达通信波形设计的乘法器交替方向法罚参数选择优化","authors":"Ahmed Saleem,&nbsp;Abdul Basit,&nbsp;Muhammad Fahad Munir,&nbsp;Wasim Khan,&nbsp;Aqdas Naveed Malik","doi":"10.1016/j.dsp.2025.105354","DOIUrl":null,"url":null,"abstract":"<div><div>In this paper, we propose an improved waveform design strategy for multiple-input multiple-output (MIMO) radar-communication systems. At first, we formulate the waveform design as an optimization problem incorporating constraints on waveform similarity and constant power. Next, we utilize a well-known alternating direction method of multipliers (ADMM) algorithm as our chosen solution strategy for addressing this problem. More importantly, we introduce a novel method of choosing the penalty parameters for achieving an improved performance in terms of desired beampattern approximation. Furthermore, we prioritize the power of the main beams in the desired directions of the radar target and communication receiver, while simultaneously minimizing sidelobes. Finally, these waveforms effectively synthesize the desired signals for joint radar and communication systems. The simulation results support and validate the effectiveness of the proposed methodology.</div></div>","PeriodicalId":51011,"journal":{"name":"Digital Signal Processing","volume":"166 ","pages":"Article 105354"},"PeriodicalIF":2.9000,"publicationDate":"2025-06-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Optimizing Penalty Parameter Selection of Alternating Direction Methods of Multipliers for an Improved Joint Radar-Communication Waveform Design\",\"authors\":\"Ahmed Saleem,&nbsp;Abdul Basit,&nbsp;Muhammad Fahad Munir,&nbsp;Wasim Khan,&nbsp;Aqdas Naveed Malik\",\"doi\":\"10.1016/j.dsp.2025.105354\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><div>In this paper, we propose an improved waveform design strategy for multiple-input multiple-output (MIMO) radar-communication systems. At first, we formulate the waveform design as an optimization problem incorporating constraints on waveform similarity and constant power. Next, we utilize a well-known alternating direction method of multipliers (ADMM) algorithm as our chosen solution strategy for addressing this problem. More importantly, we introduce a novel method of choosing the penalty parameters for achieving an improved performance in terms of desired beampattern approximation. Furthermore, we prioritize the power of the main beams in the desired directions of the radar target and communication receiver, while simultaneously minimizing sidelobes. Finally, these waveforms effectively synthesize the desired signals for joint radar and communication systems. The simulation results support and validate the effectiveness of the proposed methodology.</div></div>\",\"PeriodicalId\":51011,\"journal\":{\"name\":\"Digital Signal Processing\",\"volume\":\"166 \",\"pages\":\"Article 105354\"},\"PeriodicalIF\":2.9000,\"publicationDate\":\"2025-06-03\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Digital Signal Processing\",\"FirstCategoryId\":\"5\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S1051200425003768\",\"RegionNum\":3,\"RegionCategory\":\"工程技术\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"ENGINEERING, ELECTRICAL & ELECTRONIC\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Digital Signal Processing","FirstCategoryId":"5","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S1051200425003768","RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"ENGINEERING, ELECTRICAL & ELECTRONIC","Score":null,"Total":0}
引用次数: 0

摘要

本文提出了一种改进的多输入多输出(MIMO)雷达通信系统波形设计策略。首先,我们将波形设计描述为一个包含波形相似度和恒功率约束的优化问题。接下来,我们利用一种众所周知的乘法器交替方向方法(ADMM)算法作为我们选择的解决策略来解决这个问题。更重要的是,我们介绍了一种选择惩罚参数的新方法,以实现在期望的波束模式近似方面的改进性能。此外,我们在雷达目标和通信接收机的期望方向上优先考虑主波束的功率,同时最小化副瓣。最后,这些波形有效地合成了联合雷达和通信系统所需的信号。仿真结果支持并验证了所提方法的有效性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Optimizing Penalty Parameter Selection of Alternating Direction Methods of Multipliers for an Improved Joint Radar-Communication Waveform Design
In this paper, we propose an improved waveform design strategy for multiple-input multiple-output (MIMO) radar-communication systems. At first, we formulate the waveform design as an optimization problem incorporating constraints on waveform similarity and constant power. Next, we utilize a well-known alternating direction method of multipliers (ADMM) algorithm as our chosen solution strategy for addressing this problem. More importantly, we introduce a novel method of choosing the penalty parameters for achieving an improved performance in terms of desired beampattern approximation. Furthermore, we prioritize the power of the main beams in the desired directions of the radar target and communication receiver, while simultaneously minimizing sidelobes. Finally, these waveforms effectively synthesize the desired signals for joint radar and communication systems. The simulation results support and validate the effectiveness of the proposed methodology.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
Digital Signal Processing
Digital Signal Processing 工程技术-工程:电子与电气
CiteScore
5.30
自引率
17.20%
发文量
435
审稿时长
66 days
期刊介绍: Digital Signal Processing: A Review Journal is one of the oldest and most established journals in the field of signal processing yet it aims to be the most innovative. The Journal invites top quality research articles at the frontiers of research in all aspects of signal processing. Our objective is to provide a platform for the publication of ground-breaking research in signal processing with both academic and industrial appeal. The journal has a special emphasis on statistical signal processing methodology such as Bayesian signal processing, and encourages articles on emerging applications of signal processing such as: • big data• machine learning• internet of things• information security• systems biology and computational biology,• financial time series analysis,• autonomous vehicles,• quantum computing,• neuromorphic engineering,• human-computer interaction and intelligent user interfaces,• environmental signal processing,• geophysical signal processing including seismic signal processing,• chemioinformatics and bioinformatics,• audio, visual and performance arts,• disaster management and prevention,• renewable energy,
×
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