Method for analyzing time and frequencies of micro-movement signals of human objects on basis of terahertz radar echoes

Abstract

The invention provides a method for analyzing time and frequencies of micro-movement signals of human objects on the basis of terahertz radar echoes. The method includes building human object echo signal models, discrete echo signals and kernel functions of terahertz radar multi-scattering centers; computing bilinear functions and discrete convolution of the bilinear functions and the kernel functions; performing discrete Fourier transform on discrete convolution results at each discrete frequency point m; acquiring distribution time-frequency domain spectrograms B of the echo signals. Movement periods and frequencies of the arms and the legs of the human objects can be observed from the spectrograms, and the gait of the human objects can be recognized. The method has the advantage that problems of severe cross terms of a WD (Wigner distribution) method, decrease of resolution of a PWD (pseudo-Wigner distribution) method and poor energy accumulation performance and insufficient resolution of an STFT (short-time Fourier transform) method when time and frequencies of echo signals of human objects are analyzed can be solved by the aid of the method.

Description

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AI Technical Summary

Benefits of technology

This patented technology helps identify people's feet by analyzing their movements over multiple frequencies at once instead of just one single reflection from an object being detected or measured. It uses specific mathematical models called bifurcation maps (BM) which are developed based upon wavelets extracted through various techniques such as Fuzzy Causticks Analysis). By comparing these waveslet patterns against known ones stored within databases, it becomes possible to determine if there were any differences between them indicating different terrains or areas where somatosensory input was received compared to what would have been expected during normal walking conditions.

Problems solved by technology

This patented describes how radars use their ability to accurately identify people by analyzing changes caused by movements that affect them's position relative to other objects like background clutter or noise sources. These techniques involve converting complex waveforms into specific frequencies called micromirror waves (MRS). By comparing these MIRS patterns between two scatings, we aimed towards identifying important areas such as faces and hands through image processing technology.

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