改进雷达原始数据矩阵检测的CFAR算法

J. Perdoch, S. Gazovová, M. Pacek, Z. Matousek, J. Ochodnicky
{"title":"改进雷达原始数据矩阵检测的CFAR算法","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":"{\"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}","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

摘要

本文提出了在原始雷达数据矩阵上改进恒虚警率检测的算法。在4个具体优化案例中,应用Cell-Averaging CFAR (CA-CFAR)评估了雷达信号处理的加速效果。为了提高CA-CFAR的实效性,还对CA-CFAR中的杂波影响进行了降低。仿真设置采用不同信噪比(SNR)值的合成雷达信号。进一步证明,将CA-CFAR应用于由计算统计值组成的向量上,可以降低雷达信号处理的计算复杂度。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
CFAR Algorithm for Improving Detections on Radar Raw Data Matrices
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.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信