Ben Zhang, Yongsheng Zhang, Feng He, Lei Yu, Yi Su
{"title":"FDA radar with chirp diversity for achieving ultra-low range sidelobe level and enhancing range resolution","authors":"Ben Zhang, Yongsheng Zhang, Feng He, Lei Yu, Yi Su","doi":"10.1016/j.sigpro.2025.110314","DOIUrl":null,"url":null,"abstract":"<div><div>The composite beam scanning characteristics of coherent frequency diverse array (FDA) radar induces a decline in range resolution, which is restored by increasing the beam dwell time through the Barker codes. However, this approach can lead to a rise in the range sidelobe level (RSL) and a loss of spatial interference suppression capability. For FDA radar, common methods of reducing the RSL can lead to a loss in signal-to-noise ratio (SNR), while methods of enhancing range resolution can result in a decrease in interference suppression capability and Doppler tolerance. In this paper, we investigate a novel transmission diversity technique, namely element-to-element chirp diversity, to reduce RSL and enhance range resolution. The proposed approach is predicated on shaping the power spectrum of the aggregated transmit signal, making it approximate the local Gaussian power spectrum and the power spectrum of the baseband waveform, respectively. The method’s underlying mathematical principles are thoroughly analyzed, and the favorable properties of the optimized waveform have been evaluated using the ambiguity function. Extensive numerical and instance results demonstrate a significant reduction in the RSL and an enhancement in range resolution. Specifically, our approach circumvents any loss in processing SNR and substantial degradation in spatial interference suppression capability.</div></div>","PeriodicalId":49523,"journal":{"name":"Signal Processing","volume":"239 ","pages":"Article 110314"},"PeriodicalIF":3.6000,"publicationDate":"2025-09-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Signal Processing","FirstCategoryId":"5","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0165168425004281","RegionNum":2,"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
The composite beam scanning characteristics of coherent frequency diverse array (FDA) radar induces a decline in range resolution, which is restored by increasing the beam dwell time through the Barker codes. However, this approach can lead to a rise in the range sidelobe level (RSL) and a loss of spatial interference suppression capability. For FDA radar, common methods of reducing the RSL can lead to a loss in signal-to-noise ratio (SNR), while methods of enhancing range resolution can result in a decrease in interference suppression capability and Doppler tolerance. In this paper, we investigate a novel transmission diversity technique, namely element-to-element chirp diversity, to reduce RSL and enhance range resolution. The proposed approach is predicated on shaping the power spectrum of the aggregated transmit signal, making it approximate the local Gaussian power spectrum and the power spectrum of the baseband waveform, respectively. The method’s underlying mathematical principles are thoroughly analyzed, and the favorable properties of the optimized waveform have been evaluated using the ambiguity function. Extensive numerical and instance results demonstrate a significant reduction in the RSL and an enhancement in range resolution. Specifically, our approach circumvents any loss in processing SNR and substantial degradation in spatial interference suppression capability.
期刊介绍:
Signal Processing incorporates all aspects of the theory and practice of signal processing. It features original research work, tutorial and review articles, and accounts of practical developments. It is intended for a rapid dissemination of knowledge and experience to engineers and scientists working in the research, development or practical application of signal processing.
Subject areas covered by the journal include: Signal Theory; Stochastic Processes; Detection and Estimation; Spectral Analysis; Filtering; Signal Processing Systems; Software Developments; Image Processing; Pattern Recognition; Optical Signal Processing; Digital Signal Processing; Multi-dimensional Signal Processing; Communication Signal Processing; Biomedical Signal Processing; Geophysical and Astrophysical Signal Processing; Earth Resources Signal Processing; Acoustic and Vibration Signal Processing; Data Processing; Remote Sensing; Signal Processing Technology; Radar Signal Processing; Sonar Signal Processing; Industrial Applications; New Applications.