J. Perdoch, S. Gazovová, M. Pacek, Z. Matousek, J. Ochodnicky
{"title":"CFAR Algorithm for Improving Detections on Radar Raw Data Matrices","authors":"J. Perdoch, S. Gazovová, M. Pacek, Z. Matousek, J. Ochodnicky","doi":"10.23919/NTSP54843.2022.9920396","DOIUrl":null,"url":null,"abstract":"This paper presents algorithms for improving Constant False Alarm Rate (CFAR) detections on raw radar data matrices. Acceleration of radar signal processing was assessed by the application of Cell-Averaging CFAR (CA-CFAR) in four specific optimization cases. Reduction of clutter impact in CA-CFAR was also implemented in order to enhance CA-CFAR operation. For the simulation setup, synthetic radar signals with different Signal-to-Noise Ratio (SNR) values were used. It is further demonstrated that radar signal processing computational complexity can be reduced by applying CA-CFAR on the vector consisting of computed statistical values.","PeriodicalId":103310,"journal":{"name":"2022 New Trends in Signal Processing (NTSP)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-10-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2022 New Trends in Signal Processing (NTSP)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.23919/NTSP54843.2022.9920396","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1
Abstract
This paper presents algorithms for improving Constant False Alarm Rate (CFAR) detections on raw radar data matrices. Acceleration of radar signal processing was assessed by the application of Cell-Averaging CFAR (CA-CFAR) in four specific optimization cases. Reduction of clutter impact in CA-CFAR was also implemented in order to enhance CA-CFAR operation. For the simulation setup, synthetic radar signals with different Signal-to-Noise Ratio (SNR) values were used. It is further demonstrated that radar signal processing computational complexity can be reduced by applying CA-CFAR on the vector consisting of computed statistical values.
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