An Improved Algorithm for Through-Wall Target Detection Using Ultra-Wideband Impulse Radar
| dc.contributor.author | Liang, Xiaolin | |
| dc.contributor.author | Zhang, Hao | |
| dc.contributor.author | Fang, Guangyou | |
| dc.contributor.author | Ye, Shengbo | |
| dc.contributor.author | Gulliver, Thomas Aaron | |
| dc.date.accessioned | 2018-07-19T14:26:10Z | |
| dc.date.available | 2018-07-19T14:26:10Z | |
| dc.date.copyright | 2017 | en_US |
| dc.date.issued | 2017 | |
| dc.description.abstract | This paper considers the detection and localization of a human subject in complex environments using an ultra-wideband impulse radar. The subject is remotely sensed by extracting micro-motion information, such as the respiration and heartbeat frequencies. It is challenging to extract this information due to the low signal to noise and clutter ratio in typical disaster environments. To improve the localization accuracy, a new method is proposed using the characteristics of vital sign signals. The range is determined using a short-time Fourier transform of the kurtosis and standard deviation of the received signals. Furthermore, an improved arctangent demodulation technique is used to determine the frequency of human micro-motion based on a multiple frequency accumulation method. Performance results are presented, which show that the proposed method is superior to several well-known techniques. | en_US |
| dc.description.reviewstatus | Reviewed | en_US |
| dc.description.scholarlevel | Faculty | en_US |
| dc.description.sponsorship | This work was supported in part by the Nature Science Foundation of China under Grant 41527901, in part by the Major Program of China's Second Generation Satellite Navigation System under Grant GF**********03, in part by the Fundamental Research Funds for the Central Universities under Grant 201713018, in part by the National High Technology Research and Development Program of China under Grant 2012AA061403, in part by the National Science and Technology Pillar Program during the Twelfth Five-year Plan Period under Grant 2014BAK12B00, and in part by the National Natural Science Foundation of China under Grant 61501424. | en_US |
| dc.identifier.citation | Liang, X.; Zhang, H.; Fang, G.; Ye, S.; & Gulliver. T. A. (2017). An improved algorithm for through-wall target detection using ultra-wideband impulse radar. IEEE Access, 5, 22101-22118. https://doi.org/10.1109/ACCESS.2017.2761771 | en_US |
| dc.identifier.uri | https://doi.org/10.1109/ACCESS.2017.2761771 | |
| dc.identifier.uri | http://hdl.handle.net/1828/9726 | |
| dc.language.iso | en | en_US |
| dc.publisher | IEEE Access | en_US |
| dc.subject | human micro-motion ultra-wideband (UWB) impulse radar | |
| dc.subject | short-time Fourier transform (STFT) | |
| dc.subject | kurtosis | |
| dc.subject | frequency accumulation (FA) | |
| dc.subject | arctangent demodulation (AD) | |
| dc.subject.department | Department of Electrical and Computer Engineering | |
| dc.title | An Improved Algorithm for Through-Wall Target Detection Using Ultra-Wideband Impulse Radar | en_US |
| dc.type | Article | en_US |