Xiang Zhang;Lan Lan;Shengqi Zhu;Guisheng Liao;Ximin Li
{"title":"Removal of Mainbeam Jamming Signals With Dual-Compensation-Phase Coding Radar","authors":"Xiang Zhang;Lan Lan;Shengqi Zhu;Guisheng Liao;Ximin Li","doi":"10.1109/TAES.2024.3501236","DOIUrl":null,"url":null,"abstract":"This article investigates the removal of mainbeam jamming signals using a dual-compensation-phase coding (DC-PC) radar. At the transmitter, the waveforms are simultaneously encoded in both transmit channels and slow-time, utilizing a coding coefficient and intrapulse index. In the receiver, based on the phase differences caused by time delay between the false and true targets, a dual compensation method is proposed to identify false targets from the true one in the transmit spatial frequency dimension, which enables the removal of mainbeam deceptive jamming signals through transmit–receive 2-D beamforming. Furthermore, in order to mitigate the performance degeneration due to the existence of direction of arrival (DOA) mismatch, a constrained optimization problem is established with the aim of maximizing the signal-to-interference-plus-noise ratio (SINR) with respect to both the coding coefficient and intrapulse index. In this regard, the alternating optimization (AO) procedure is utilized to tackle the problem, resorting to the majorization–minimization (MM) and gradient descent (GD) algorithms. The performance of removing mainbeam jamming signals in DC-PC radar is compared with other radar frameworks in terms of the Capon spectra, output power, and output SINR. Simulation results verify the superiorities of the devised methods in DC-PC radar.","PeriodicalId":13157,"journal":{"name":"IEEE Transactions on Aerospace and Electronic Systems","volume":"61 2","pages":"4343-4356"},"PeriodicalIF":5.7000,"publicationDate":"2024-11-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"IEEE Transactions on Aerospace and Electronic Systems","FirstCategoryId":"94","ListUrlMain":"https://ieeexplore.ieee.org/document/10756719/","RegionNum":2,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ENGINEERING, AEROSPACE","Score":null,"Total":0}
引用次数: 0
Abstract
This article investigates the removal of mainbeam jamming signals using a dual-compensation-phase coding (DC-PC) radar. At the transmitter, the waveforms are simultaneously encoded in both transmit channels and slow-time, utilizing a coding coefficient and intrapulse index. In the receiver, based on the phase differences caused by time delay between the false and true targets, a dual compensation method is proposed to identify false targets from the true one in the transmit spatial frequency dimension, which enables the removal of mainbeam deceptive jamming signals through transmit–receive 2-D beamforming. Furthermore, in order to mitigate the performance degeneration due to the existence of direction of arrival (DOA) mismatch, a constrained optimization problem is established with the aim of maximizing the signal-to-interference-plus-noise ratio (SINR) with respect to both the coding coefficient and intrapulse index. In this regard, the alternating optimization (AO) procedure is utilized to tackle the problem, resorting to the majorization–minimization (MM) and gradient descent (GD) algorithms. The performance of removing mainbeam jamming signals in DC-PC radar is compared with other radar frameworks in terms of the Capon spectra, output power, and output SINR. Simulation results verify the superiorities of the devised methods in DC-PC radar.
期刊介绍:
IEEE Transactions on Aerospace and Electronic Systems focuses on the organization, design, development, integration, and operation of complex systems for space, air, ocean, or ground environment. These systems include, but are not limited to, navigation, avionics, spacecraft, aerospace power, radar, sonar, telemetry, defense, transportation, automated testing, and command and control.