{"title":"High resolution signal processing techniques for millimeter wave short range surveillance radar","authors":"A. S. Turk, A. Kizilay, Melek Orhan, A. Çalışkan","doi":"10.1109/IRS.2016.7884697","DOIUrl":null,"url":null,"abstract":"In this paper, we investigated adaptive signal processing algorithms for high-resolution imaging of short range targets by 24 GHz millimeter wave (MMW) surveillance radar system. For test measurements, a step frequency continuous wave (SFCW) based Synthetic Aperture Radar (SAR) imaging system has been developed by using Anritsu MS4644A Vector Network Analyzer (VNA) and A-scan radar data were collected to demonstrate B-scan target images. We applied SAR processing and MUSIC (Multiple Signal Classification) algorithm for raw data to enhance the cross-range and range resolutions, respectively. The fusion of SAR and MUSIC algorithms is proposed to obtain improved image quality for better target identification and false alarm rate performance.","PeriodicalId":346680,"journal":{"name":"2016 17th International Radar Symposium (IRS)","volume":"21 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2016-05-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"6","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2016 17th International Radar Symposium (IRS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IRS.2016.7884697","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 6
Abstract
In this paper, we investigated adaptive signal processing algorithms for high-resolution imaging of short range targets by 24 GHz millimeter wave (MMW) surveillance radar system. For test measurements, a step frequency continuous wave (SFCW) based Synthetic Aperture Radar (SAR) imaging system has been developed by using Anritsu MS4644A Vector Network Analyzer (VNA) and A-scan radar data were collected to demonstrate B-scan target images. We applied SAR processing and MUSIC (Multiple Signal Classification) algorithm for raw data to enhance the cross-range and range resolutions, respectively. The fusion of SAR and MUSIC algorithms is proposed to obtain improved image quality for better target identification and false alarm rate performance.
本文研究了24 GHz毫米波监视雷达系统对近距离目标进行高分辨率成像的自适应信号处理算法。在测试测量中，利用安立公司MS4644A矢量网络分析仪(VNA)开发了基于步进频率连续波(SFCW)的合成孔径雷达(SAR)成像系统，并采集了a扫描雷达数据来演示b扫描目标图像。对原始数据分别采用SAR处理和MUSIC (Multiple Signal Classification)算法来提高交叉距离和距离分辨率。提出了SAR算法和MUSIC算法的融合，提高了图像质量，提高了目标识别和虚警率性能。
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