Through Wall Human Detection Using Compressed UWB Radar Data
The technology for through wall human detection with 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 still status of human being for Gypsum wall. The experimental results showed that the singular values with human target were increased relative to the status without target.
KeywordsThrough wall human detection UWB radar Compressive sensing Singular value decomposition
The authors would love to thank Professor Qilian Liang in University of Texas at Arlington for providing the UWB radar data. This research was supported by the Tianjin Younger Natural Science Foundation (12JCQNJC00400) and National Natural Science Foundation of China(61271411).
- 1.Zaikov E, Sachs J, Aftanas M, Rovnakova J (2008) Detection of trapped people by UWB radar. Micorwave Conf (GeMIC) German 3:1–4Google Scholar
- 2.Rovnakova J, Svecova M, Kocur D et al (2008) Signal processing for through wall moving target tracking by M-sequence UWB radar. 2008 18th international conference on Radioelektronika 4:1–4Google Scholar
- 3.Kocur D, Gamec J, Svecova M, Gamcova M, Rovnakova J (2010) Imaging mehtod: an efficient algorithm for moving target tracking by UWB radar. Acta Polytechnica Hungarica 7(3):5–24Google Scholar
- 5.Sachs J, Aftanas M, Crabbe S et al (2008) Detection and tracking of moving or trapped people hidden by obstacles using ultra-wideband pseudo-noise radar. Eur Radar Conf 10:408–411Google Scholar
- 6.Singh S, Liang Q, Chen D, Sheng L (2011) Sense through wall human detection using UWB radar. EURASIP J Wireless Comm Networking 20Google Scholar
- 7.Wei Wang, Xin Zhou, Baoju Zhang, Jiasong Mu. Anomaly detection in big data from UWB radars. Security and Comm Networks Accepted. doi: 10.1002/sec.745
- 9.Candès E (2006) Compressive sampling. In: Proceedings of international congress of mathematicians, European Mathematical Society Publishing House, Madrid, Spain, pp 1433–1452Google Scholar