{"title":"采用联合收发设计抑制主瓣多假目标欺骗性干扰","authors":"Yipin Liu , Lei Yu , Yinsheng Wei","doi":"10.1016/j.dsp.2025.105289","DOIUrl":null,"url":null,"abstract":"<div><div>A method for suppressing mainlobe multiple false targets deceptive jamming using joint transmit-receive design is proposed in this paper. We utilize multiple-input multiple-output (MIMO) radar waveform design at the transmitting end and employ element-pulse coding (EPC) to modulate the received signal mixing matrix, thereby enhancing the blind separability between the target and jamming. The receiving end adopts blind source extraction (BSE) technology improved by blind source separation (BSS) for processing. By formulating an appropriate optimization model and employing the dynamic superior-inferior subgroup particle swarm optimizer algorithm, the optimal extraction vector for the target echo is obtained to achieve jamming suppression. This method combines the blind signal processing theory at the receiving end with the waveform design theory at the transmitting end, thereby utilizing complementary advantages. The numerical results demonstrate that the proposed method offers a spectrum of performance enhancements over conventional approaches, which are dependent exclusively on either the receiving or transmitting terminal.</div></div>","PeriodicalId":51011,"journal":{"name":"Digital Signal Processing","volume":"164 ","pages":"Article 105289"},"PeriodicalIF":2.9000,"publicationDate":"2025-04-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Mainlobe multiple false targets deceptive jamming suppression via joint transmit-receive design\",\"authors\":\"Yipin Liu , Lei Yu , Yinsheng Wei\",\"doi\":\"10.1016/j.dsp.2025.105289\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><div>A method for suppressing mainlobe multiple false targets deceptive jamming using joint transmit-receive design is proposed in this paper. We utilize multiple-input multiple-output (MIMO) radar waveform design at the transmitting end and employ element-pulse coding (EPC) to modulate the received signal mixing matrix, thereby enhancing the blind separability between the target and jamming. The receiving end adopts blind source extraction (BSE) technology improved by blind source separation (BSS) for processing. By formulating an appropriate optimization model and employing the dynamic superior-inferior subgroup particle swarm optimizer algorithm, the optimal extraction vector for the target echo is obtained to achieve jamming suppression. This method combines the blind signal processing theory at the receiving end with the waveform design theory at the transmitting end, thereby utilizing complementary advantages. The numerical results demonstrate that the proposed method offers a spectrum of performance enhancements over conventional approaches, which are dependent exclusively on either the receiving or transmitting terminal.</div></div>\",\"PeriodicalId\":51011,\"journal\":{\"name\":\"Digital Signal Processing\",\"volume\":\"164 \",\"pages\":\"Article 105289\"},\"PeriodicalIF\":2.9000,\"publicationDate\":\"2025-04-30\",\"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/S1051200425003112\",\"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/S1051200425003112","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}
A method for suppressing mainlobe multiple false targets deceptive jamming using joint transmit-receive design is proposed in this paper. We utilize multiple-input multiple-output (MIMO) radar waveform design at the transmitting end and employ element-pulse coding (EPC) to modulate the received signal mixing matrix, thereby enhancing the blind separability between the target and jamming. The receiving end adopts blind source extraction (BSE) technology improved by blind source separation (BSS) for processing. By formulating an appropriate optimization model and employing the dynamic superior-inferior subgroup particle swarm optimizer algorithm, the optimal extraction vector for the target echo is obtained to achieve jamming suppression. This method combines the blind signal processing theory at the receiving end with the waveform design theory at the transmitting end, thereby utilizing complementary advantages. The numerical results demonstrate that the proposed method offers a spectrum of performance enhancements over conventional approaches, which are dependent exclusively on either the receiving or transmitting terminal.
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,