Through-wall detection of human being with compressed UWB radar data

The technology for through-wall human detection with ultra-wideband (UWB) radar was discussed. Due to the large amount of UWB radar data, compressive sensing theory was introduced and compressed UWB radar data can be collected. The singular value decomposition algorithm was used to acquire the singular values of compressed radar data. The compressed UWB radar data were collected at two statuses of human being for gypsum wall. The experimental results showed that the singular values with a human target were increased compared with those without a target.

[1]  Dusan Kocur,et al.  CFAR detectors for through wall tracking of moving targets by M-sequence UWB radar , 2010, 20th International Conference Radioelektronika 2010.

[2]  Qilian Liang,et al.  Zero Correlation Zone Sequence Pair Sets for MIMO Radar , 2012, IEEE Transactions on Aerospace and Electronic Systems.

[3]  Li Sheng,et al.  Sense through wall human detection using UWB radar , 2011, EURASIP J. Wirel. Commun. Netw..

[4]  Dusan Kocur,et al.  Imaging Method: An Efficient Algorithm for Moving Target Tracking by UWB Radar , 2010 .

[5]  Qilian Liang,et al.  Automatic target recognition using waveform diversity in radar sensor networks , 2008, Pattern Recognit. Lett..

[6]  Qilian Liang,et al.  Orthogonal Pulse Compression Codes for MIMO Radar System , 2010, 2010 IEEE Global Telecommunications Conference GLOBECOM 2010.

[7]  Qilian Liang,et al.  Biologically Inspired Target Recognition in Radar Sensor Networks , 2010, EURASIP J. Wirel. Commun. Netw..

[8]  Jiasong Mu,et al.  Anomaly detection in big data from UWB radars , 2015, Secur. Commun. Networks.

[9]  Qilian Liang,et al.  KUPS: Knowledge-based Ubiquitous and Persistent Sensor networks for Threat Assessment , 2006, MILCOM 2006 - 2006 IEEE Military Communications conference.

[10]  Xiuzhen Cheng,et al.  NEW: Network-Enabled Electronic Warfare for Target Recognition , 2010, IEEE Transactions on Aerospace and Electronic Systems.

[11]  Qilian Liang,et al.  Compressive sensing in distributed radar sensor networks using pulse compression waveforms , 2013, EURASIP J. Wirel. Commun. Netw..

[12]  M. Aftanas,et al.  Detection and tracking of moving or trapped people hidden by obstacles using ultra-wideband pseudo-noise radar , 2008, 2008 European Radar Conference.

[13]  E.J. Candes Compressive Sampling , 2022 .

[14]  M. Aftanas,et al.  Detection of trapped people by UWB radar , 2008 .

[15]  E.J. Candes,et al.  An Introduction To Compressive Sampling , 2008, IEEE Signal Processing Magazine.

[16]  S. Frick,et al.  Compressed Sensing , 2014, Computer Vision, A Reference Guide.

[17]  Qilian Liang,et al.  Waveform Design and Optimization in Radar Sensor Network , 2010, 2010 IEEE Global Telecommunications Conference GLOBECOM 2010.

[18]  Amir Averbuch,et al.  Adaptive Compressed Image Sensing Using Dictionaries , 2012, SIAM J. Imaging Sci..

[19]  WangWei,et al.  Anomaly detection in big data from UWB radars , 2015 .

[20]  Qilian Liang,et al.  Waveform Design and Diversity in Radar Sensor Networks: Theoretical Analysis and Application to Automatic Target Recognition , 2006, 2006 3rd Annual IEEE Communications Society on Sensor and Ad Hoc Communications and Networks.

[21]  Jerry M. Mendel,et al.  Designing interval type‐2 fuzzy logic systems using an SVD‐QR method: Rule reduction , 2000 .

[22]  J. Rovnakova,et al.  Signal processing for through wall moving target tracking by M-sequence UWB radar , 2008, 2008 18th International Conference Radioelektronika.