UCL Discovery
UCL home » Library Services » Electronic resources » UCL Discovery

Through Wall Radar Classification of Human Micro-Doppler Using Singular Value Decomposition Analysis

Ritchie, M; Ash, M; Chen, Q; Chetty, K; (2016) Through Wall Radar Classification of Human Micro-Doppler Using Singular Value Decomposition Analysis. Sensors , 16 (9) , Article 1401. 10.3390/s16091401. Green open access

[thumbnail of Chetty2_sensors-16-01401.pdf]
Preview
Text
Chetty2_sensors-16-01401.pdf

Download (14MB) | Preview

Abstract

The ability to detect the presence as well as classify the activities of individuals behind visually obscuring structures is of significant benefit to police, security and emergency services in many situations. This paper presents the analysis from a series of experimental results generated using a through-the-wall (TTW) Frequency Modulated Continuous Wave (FMCW) C-Band radar system named Soprano. The objective of this analysis was to classify whether an individual was carrying an item in both hands or not using micro-Doppler information from a FMCW sensor. The radar was deployed at a standoff distance, of approximately 0.5 m, outside a residential building and used to detect multiple people walking within a room. Through the application of digital filtering, it was shown that significant suppression of the primary wall reflection is possible, significantly enhancing the target signal to clutter ratio. Singular Value Decomposition (SVD) signal processing techniques were then applied to the micro-Doppler signatures from different individuals. Features from the SVD information have been used to classify whether the person was carrying an item or walking free handed. Excellent performance of the classifier was achieved in this challenging scenario with accuracies up to 94%, suggesting that future through wall radar sensors may have the ability to reliably recognize many different types of activities in TTW scenarios using these techniques

Type: Article
Title: Through Wall Radar Classification of Human Micro-Doppler Using Singular Value Decomposition Analysis
Open access status: An open access version is available from UCL Discovery
DOI: 10.3390/s16091401
Publisher version: http://doi.org/10.3390/s16091401
Language: English
Additional information: © 2016 by the authors; licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC-BY) license (http://creativecommons.org/licenses/by/4.0/).
Keywords: Science & Technology, Physical Sciences, Technology, Chemistry, Analytical, Electrochemistry, Instruments & Instrumentation, Chemistry, micro-Doppler, FMCW radar, through-the-wall, classification, SIGNATURES, PERSONNEL, SVD, TRACKING, FEATURES, MOTIONS
UCL classification: UCL
UCL > Provost and Vice Provost Offices > UCL BEAMS
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > Dept of Electronic and Electrical Eng
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > Dept of Security and Crime Science
URI: https://discovery.ucl.ac.uk/id/eprint/1508358
Downloads since deposit
76Downloads
Download activity - last month
Download activity - last 12 months
Downloads by country - last 12 months

Archive Staff Only

View Item View Item