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Research On Detection And Location Technology Of Human Movement Through-wall Based On UHF

Posted on:2022-03-08Degree:MasterType:Thesis
Country:ChinaCandidate:X S ZhongFull Text:PDF
GTID:2518306326482324Subject:Information and Communication Engineering
Abstract/Summary:PDF Full Text Request
Human partition detection is a brand-new environmental perception technology developed in recent years,which can be applied to many fields such as anti-terrorist hostage rescue,natural disaster rescue,security monitoring,intrusion detection and urban street fighting.Penetrating radar is currently the most common partition wall detection system.There are many problems when using it,such as high cost and complicated operation,and it cannot be applied to many civilian occasions.In response to the above-mentioned needs and the existing problems of current partition wall detection equipment,this paper studies a UHF-based human body partition based on the characteristics of UHF small bandwidth,low cost,good wall penetration performance,and basically no harm to the human body.Wall detection technology,the main work of this article is as follows:(1)Analyzed the penetration ability of electromagnetic waves in different frequency bands and the influence of different wall materials on the penetration ability of electromagnetic waves.The research summarized the composition of human motion echo signals,the calculation method of RCS of moving human body,and the influence of human body related characteristics on RCS.(2)Study the method of extracting and analyzing the features of the sports human body.A motion state recognition method based on the time-frequency domain characteristics of echo signals is proposed.The preprocessing method of human motion echo signal based on adaptive EMD is studied.By extracting statistical parameters in the time domain and frequency domain,the signal difference between the stationary and moving human body in the partition wall is analyzed;STFT and continuous wavelet based on Morlet mother wavelet are used Transform and other time-frequency domain analysis and processing methods,according to the human body echo signals in different wall scenes,obtain the time-frequency distribution diagram of the human body's static and moving state,extract the relevant time-frequency features,and realize the recognition of the human body motion state of the partition wall.(3)The angle-angle positioning method and distance-angle positioning method based on double base points are studied.A method for human body positioning based on wide and narrow beam scanning with echo amplitude is proposed,the corresponding positioning formula is deduced,and the geometric positioning error analysis is performed;the simulation of the two algorithms is completed.(4)An experimental verification system was constructed,and actual measurement experiments were carried out.In the two experimental scenarios of brick wall and glass wall,this method can identify and locate the human body motion and static state such as radial motion,tangential motion,oblique motion and multi-person stepping,with a positioning error of 14.62%.
Keywords/Search Tags:Through-wall detection, Ultra high frequency, Motion feature extraction, Beam scanning, Human body positioning
PDF Full Text Request
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