6th International ICST Conference on Communications and Networking in China

Research Article

Compressive Sensing for Sense-Through-Wall UWB Noise Radar Signal

  • @INPROCEEDINGS{10.1109/ChinaCom.2011.6158299,
        author={Ji Wu and Qilian Liang and Zheng Zhou and Xiaorong Wu and Baoju Zhang},
        title={Compressive Sensing for Sense-Through-Wall UWB Noise Radar Signal},
        proceedings={6th International ICST Conference on Communications and Networking in China},
        publisher={IEEE},
        proceedings_a={CHINACOM},
        year={2012},
        month={3},
        keywords={compressive sensing; uwb noise radar; cosine basis},
        doi={10.1109/ChinaCom.2011.6158299}
    }
    
  • Ji Wu
    Qilian Liang
    Zheng Zhou
    Xiaorong Wu
    Baoju Zhang
    Year: 2012
    Compressive Sensing for Sense-Through-Wall UWB Noise Radar Signal
    CHINACOM
    IEEE
    DOI: 10.1109/ChinaCom.2011.6158299
Ji Wu1, Qilian Liang1, Zheng Zhou2, Xiaorong Wu3, Baoju Zhang3,*
  • 1: UTA
  • 2: BUPT
  • 3: TJNU
*Contact email: wdxyzbj@mail.tjnu.edu.cn

Abstract

UWB noise radar is one of the novel techniques which are widely used in various sensing-through-wall applications such as emergency rescues and military operations. One of the most challenging problems in UWB noise radar is data storage. In this paper, we apply compressive sensing in UWB noise radar to represent the original signal with far fewer samples. Interestingly, a random Gaussian matrix is sufficient to capture the information in the UWB noise radar signal, no knowledge of UWB signal is known in advance. Simulation results indicate only 1/5 of original samples are need to perfectly recover the UWB noise radar signal.