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 

机构地区：[1]School of Integrated Circuits and Electronics,Beijing Institute of Technology,Beijing 100081,China.

出　　处：《Journal of Beijing Institute of Technology》2022年第1期123-130,共8页北京理工大学学报（英文版）

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.

关 键 词：through-wall radar multiple signal classification(MUSIC)algorithm inverse fast Four-ier transform(IFFT)algorithm target detection 

分 类 号：TN957.51[电子电信—信号与信息处理]