Looking for breakthrough ideas for innovation challenges? Try Patsnap Eureka!

Human body target motion state identifying method based on improved generalized S conversion

A human target and recognition method technology, applied in the direction of radio wave reflection/re-radiation, using re-radiation, measuring devices, etc., can solve the problems of WVD cross-term interference and low resolution of Fourier transform, and achieve multi-signal energy , the effect of improving the resolution

Inactive Publication Date: 2014-09-24
BEIHANG UNIV
View PDF2 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] In order to solve the problem of low short-time Fourier transform resolution and cross-term interference in WVD in the micro-Doppler extraction of radar echoes of human targets, the present invention proposes a method based on improving the generalized S-transform method to extract micro-Doppler Human target motion state recognition method based on

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Human body target motion state identifying method based on improved generalized S conversion
  • Human body target motion state identifying method based on improved generalized S conversion
  • Human body target motion state identifying method based on improved generalized S conversion

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0023] The present invention will be further described in detail below in conjunction with the accompanying drawings.

[0024] see figure 1 As shown, a kind of human body target motion state recognition method based on improved generalized S transform of the present invention, this human body target motion state recognition method includes the following processing steps:

[0025] Step 1: Establish a space model of human target walking based on empirical mathematical parameters and Euler rotation matrix;

[0026] Step 2: Establish the radar echo model of the human walking target for the continuous wave radar signal;

[0027] Step 3: improving the generalized S-transform, and using the improved generalized S-transform to perform time-frequency analysis on the echo, and extracting the micro-Doppler feature of the echo signal;

[0028] Step 4: Judging the movement state of the human target (slow walking, normal walking, fast walking) from the time-spectrum diagram.

[0029] In ...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

PUM

No PUM Login to View More

Abstract

The invention discloses a human body target motion state identifying method based on improved generalized S conversion, and belongs to the technical field of radar life detection and identification. The method comprises the following steps of: establishing a human body target walking space model based on an empirical mathematic parameter and an Euler rotation matrix, then establishing a radar return model for micro Doppler modulation, and extracting target micro Doppler characteristics from a return signal by utilizing improved generalized S conversion, so that the human body target motion state can be identified. By utilizing the method, three specific target states of low-speed walking, normal-speed walking and high-speed walking can be identified.

Description

technical field [0001] The invention relates to a method for recognizing the motion state of a human target in radar life detection technology, which uses an improved generalized S transform to extract micro-Doppler features from the radar echo of a human motion target to realize the recognition of different motion states of the target. Background technique [0002] Life detection and identification technology is a new technology developed rapidly in modern times. Its technology type can be divided into four types: optical detection, acoustic detection, infrared detection and radar detection according to different sensors. Optical life detection technology uses light reflection to detect life. Through the gaps in the accumulation layer of ruins or drilling holes with special drilling rigs, it can go deep into the vicinity of trapped people to determine the location and living status of living bodies. However, the low imaging quality of optical technology under low-light cond...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

Application Information

Patent Timeline
no application Login to View More
Patent Type & Authority Patents(China)
IPC IPC(8): G01S13/52
Inventor 张耀天常亮刘佳佳杨凡
Owner BEIHANG UNIV
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Patsnap Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Patsnap Eureka Blog
Learn More
PatSnap group products

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic, Popular Technical Reports.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap|About US| Contact US: help@patsnap.com