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

A technology of human target and identification method, which is applied in the directions of radio wave reflection/re-radiation, utilization of re-radiation, and measurement devices, which can solve the problems of low Fourier transform resolution and WVD cross-term interference, etc., and improve the resolution ability , the effect of multi-signal energy

Inactive Publication Date: 2013-02-13
BEIHANG UNIV
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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

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  • 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

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[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 ...

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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...

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Application Information

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IPC IPC(8): G01S13/52
Inventor 张耀天常亮刘佳佳杨凡
Owner BEIHANG UNIV
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