Title :
Detection of Concealed Individuals Based on Their Vital Signs by Using a See-Through-Wall Imaging System With a Self-Injection-Locked Radar
Author :
Fu-Kang Wang ; Tzyy-Sheng Horng ; Kang-Chun Peng ; Je-Kuan Jau ; Jian-Yu Li ; Cheng-Chung Chen
Author_Institution :
Dept. of Electr. Eng., Nat. Sun Yat-Sen Univ., Kaohsiung, Taiwan
Abstract :
This paper presents a self-injection-locked (SIL) radar with ranging and tracking capabilities to see through walls for discovering hidden people. Characterized by low complexity and high sensitivity, the proposed SIL radar merges the frequency-modulated continuous-wave and sum-difference pattern detection approaches to determine the distance and azimuth from the radar to each individual in a scene behind a wooden partition wall. An individual can be distinguished from a stationary object by using dynamic spectral subtraction to extract human motions or vital signs. Additionally, two or more individuals can be distinguished from each other by decomposing the Doppler signal into contributions of individuals in a polar domain. Consequently, a see-through-wall imaging system is constructed with the proposed SIL radar to position different individuals concealed behind a wall.
Keywords :
CW radar; Doppler radar; FM radar; feature extraction; image motion analysis; radar detection; radar imaging; radar tracking; walls; Doppler signal; FMCW radar; SIL radar; concealed individual detection; dynamic spectral subtraction; frequency-modulated continuous-wave radar; hidden people discovery; human motion extraction; polar domain; ranging capability; see-through-wall imaging system; self-injection-locked radar; sum-difference pattern detection; tracking capability; vital sign; wooden partition wall; Doppler radar; Radar antennas; Radar detection; Radar imaging; Radar tracking; Voltage-controlled oscillators; Frequency-modulated continuous-wave (FMCW) radar; see-through-wall (STW) imaging radar; self-injection-locked (SIL) radar; sum-difference pattern; vital signs;
Journal_Title :
Microwave Theory and Techniques, IEEE Transactions on
DOI :
10.1109/TMTT.2012.2228223