Compressive noise radar for urban sensing

Mahesh C. Shastry, Ram Mohan Narayanan, Muralidhar Rangaswamy

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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.

Original languageEnglish (US)
Title of host publication2014 IEEE 8th Sensor Array and Multichannel Signal Processing Workshop, SAM 2014
PublisherIEEE Computer Society
Pages485-488
Number of pages4
ISBN (Print)9781479914814
DOIs
StatePublished - Jan 1 2014
Event2014 IEEE 8th Sensor Array and Multichannel Signal Processing Workshop, SAM 2014 - A Coruna, Spain
Duration: Jun 22 2014Jun 25 2014

Publication series

NameProceedings of the IEEE Sensor Array and Multichannel Signal Processing Workshop
ISSN (Electronic)2151-870X

Other

Other2014 IEEE 8th Sensor Array and Multichannel Signal Processing Workshop, SAM 2014
CountrySpain
CityA Coruna
Period6/22/146/25/14

All Science Journal Classification (ASJC) codes

  • Signal Processing
  • Control and Systems Engineering
  • Electrical and Electronic Engineering

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  • Cite this

    Shastry, M. C., Narayanan, R. M., & Rangaswamy, M. (2014). Compressive noise radar for urban sensing. In 2014 IEEE 8th Sensor Array and Multichannel Signal Processing Workshop, SAM 2014 (pp. 485-488). [6882446] (Proceedings of the IEEE Sensor Array and Multichannel Signal Processing Workshop). IEEE Computer Society. https://doi.org/10.1109/SAM.2014.6882448