A Time-Frequency Associated MUSIC Algorithm Research on Human Target Detection by Through-Wall Radar

• 作者: Xianyu Dong Wu Ren Zhenghui Xue Xuetian Wang Weiming Li
• 来源期刊: 北京理工大学学报（英文版）
• 年，卷（期）: 2022,（1）
• 页码范围: 123-130
• 页数: 8页
• 语种: 英文
• DOI: 10.15918/j.jbit1004-0579.2021.087

摘要

In this paper, a time-frequency associated multiple signal classification (MUSIC) al-gorithm which is suitable for through-wall detection is proposed. The technology of detecting hu-man targets by through-wall radar can be used to monitor the status and the location information of human targets behind the wall. However, the detection is out of order when classical MUSIC al-gorithm is applied to estimate the direction of arrival. In order to solve the problem, a time-fre-quency associated MUSIC algorithm suitable for through-wall detection and based on S-band stepped frequency continuous wave (SFCW) radar is researched. By associating inverse fast Fouri-er transform (IFFT) algorithm with MUSIC algorithm, the power enhancement of the target sig-nal is completed according to the distance calculation results in the time domain. Then convert the signal to the frequency domain for direction of arrival (DOA) estimation. The simulations of two-dimensional human target detection in free space and the processing of measured data are com-pleted. By comparing the processing results of the two algorithms on the measured data, accuracy of DOA estimation of proposed algorithm is more than 75％, which is 50％ higher than classical MUSIC algorithm. It is verified that the distance and angle of human target can be effectively de-tected via proposed algorithm.