International Journal of Electrical and Computer Engineering (IJECE) Vol. 8, No. 6, December 2018, pp. 5227~5237 ISSN: 2088-8708, DOI: 10.11591/ijece.v8i6.pp5227-5237  5227 Journal homepage: http://iaescore.com/journals/index.php/IJECE Through the Wall, Recognize Moving Targets Based on Micro- Doppler Signatures Thamir Rashed Saeed, Mahmuod Hamza Al-Muifraje, Ghufran M. Hatem Radar Research Group(R 2 G), Department of Electrical Engineering, University of Technology, Iraq Article Info ABSTRACT Article history: Received Jan 21, 2018 Revised Jul 26, 2018 Accepted Jul 29, 2018 Radar is a promising device for detection and recognition of invisible moving objects, Where, the micro-Doppler frequency shift caused by moving the object's parts have been represented as an attractive feature in the recognition process. In spite of that, no thorough analysis of human movement by bicycle and no discriminate from the running one through the wall in the literature. This paper presents a mathematical model of bicycle movement, then, the recognition of moving objects through the wall. Where three human movements; walking, running and on a bicycle have been recognized through two types of wall wood and cork. The theoretical analysis and measured was given a recognition 98.7% for human walking on his feet, 99% of the passenger on a bicycle, and 98% of the person running have been achieved without walls. While, a 95.4%, 96.2%, and 95% recognition have been gained from walking, moving by bicycle and running with wooden wall and 94%, 94.8%, and 93.3% respectively with cork wall. 2.4 GHz as a detector and SVM as classifier are used. Keyword: Micro-doppler frequency Object recognition Through wall detection Copyright © 2018 Institute of Advanced Engineering and Science. All rights reserved. Corresponding Author: Thamir Rashed Saeed, Department of Electrical Engineering, University of Technology, Iraq. Email: thamir_rashed@yahoo.com 1. INTRODUCTION In the last decade, radar has developed as a promising innovative [1] for detecting and recognizing the moving objects behind the walls [2]-[4]. In this context, the walls are complex propagation environments that introduce refraction, attenuation, ringing and multipath to the radar signal [2]. Therefore, the knowledge of moving objects can be a useful tool in surveillance, security, military combat, search and rescue operations, medical fields, urban warfare, anti-terrorism, law enforcement, earthquake survivor detection, trapped human location, homeland security, and the concealed weapon detection [5]-[8]. In this context, the advantages of radar compared to the other sensors is the ability of operation in different environments [9]-[11]. The expected behavior of the illuminated moving objects by radar signal has modulated this signal at the received phase caused by the time-varying delay between the radar and that object. Than a Doppler frequency has been introduced caused by this motion, while, the micro-Doppler which is caused by micro- motion-[2], [12]. In case of human as a non-rigid body, where his micro-motion is introduced by his parts; the arms, legs, torso, and others. All these parts are contributed to a unique signature caused by its micro- Doppler which is modulated on the main Doppler which is created by the torso [10]. Therefore, the recognition of moving objects is achieved by its micro-Doppler (MD) features, where, the micro-motion has a unique signature at different ranges [13], [14]. This signature will be reduced to minimize the efforts of digital signal processing applications [15]-[18]. It is often beneficial, the choice of the frequency of operation depends on the application, specifically on the barrier type, target position behind the wall, standoff requirement, and resolution requirements, all of which are somewhat interrelated [8].