{"title":"Compressive noise radar for urban sensing","authors":"Mahesh C. Shastry, R. Narayanan, M. Rangaswamy","doi":"10.1109/SAM.2014.6882448","DOIUrl":null,"url":null,"abstract":"Ultra-wideband (UWB) noise-like transmit waveforms are ideally suited for implementing compressive radar range-profile imaging systems. Due to useful properties such as robustness to interference, simplicity of hardware design, and high range resolution, UWB noise radar has been successfully applied to urban-sensing scenarios. Compressive noise radar systems can achieve resolutions comparable to conventional systems at lower sampling rates, thus enabling super-resolution in radar imaging. In this paper, compressive noise radar imaging is experimentally shown to be feasible for urban sensing applications. S-band through-the-wall imaging results demonstrate the feasibility of using compressive noise radar for sensing obscured targets of interest in urban scenarios.","PeriodicalId":141678,"journal":{"name":"2014 IEEE 8th Sensor Array and Multichannel Signal Processing Workshop (SAM)","volume":"57 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2014-06-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2014 IEEE 8th Sensor Array and Multichannel Signal Processing Workshop (SAM)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/SAM.2014.6882448","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
Ultra-wideband (UWB) noise-like transmit waveforms are ideally suited for implementing compressive radar range-profile imaging systems. Due to useful properties such as robustness to interference, simplicity of hardware design, and high range resolution, UWB noise radar has been successfully applied to urban-sensing scenarios. Compressive noise radar systems can achieve resolutions comparable to conventional systems at lower sampling rates, thus enabling super-resolution in radar imaging. In this paper, compressive noise radar imaging is experimentally shown to be feasible for urban sensing applications. S-band through-the-wall imaging results demonstrate the feasibility of using compressive noise radar for sensing obscured targets of interest in urban scenarios.