Through the Wall, Recognize Moving Targets Based on Micro-Doppler Signatures

Abstract

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.

Moving Target Tracking and Classification Based on Micro-Doppler Signatures

“…The radar parameters which are used to illuminate the moving target are illustrated in Table 1 [20,21]. In this work, the vector X represents the estimated vector of the Eq.…”

“…All data have been collected using the Ancortek-SDR-KIT 240B [20] fully integrated automotive radar transceiver manufactured by Ancortek. The radar operation mode was configured as a frequency modulated continuous wave (FMCW), with linear chirp modulation, and the parameters, shown in Table 1.…”