Ahmed Saleem, Abdul Basit, Muhammad Fahad Munir, Wasim Khan, Aqdas Naveed Malik
{"title":"Optimizing Penalty Parameter Selection of Alternating Direction Methods of Multipliers for an Improved Joint Radar-Communication Waveform Design","authors":"Ahmed Saleem, Abdul Basit, Muhammad Fahad Munir, Wasim Khan, 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}
引用次数: 0
Abstract
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.
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,