Target human body motion state recognition method suitable for micro-motion interference scene

Abstract

The invention discloses a target human motion state recognition method suitable for a micro-motion interference scene. The target human motion state recognition method comprises the following steps that (1) a continuous wave radar transceiver is constructed to acquire a Doppler signal formed by human body motion in a target space; (2) an empirical modal decomposition algorithm is used for removingmicro-Doppler signals generated by other human body micro-motion in the target space, and the signals generated by a target human body are extracted; (3) the short-time Fourier transform and the Hermite multi-window are used for performing time-frequency energy spectrum analysis on the signals of the target human body, and the signals are subjected to energy accumulation; (4) the time-frequency energy spectrum obtained after energy accumulation is used for extracting the characteristics of human trunk motion and swing arm motion; and (5) integrated learning ideas are used for combining Bagging with a decision-making tree to form a motion state classifier, and the recognition of six motion states of still, running, crawling, one-arm motion, dual-arm motion and armless motion. The target human motion state recognition method realizes the removal of other human body micro-motion interference signals.

Description

technical field [0001] The invention relates to signal processing technology, in particular to a target human body motion state recognition method suitable for micro-motion interference scenes. Background technique [0002] At present, the recognition of human motion status has become a hot research direction in the field of wireless sensing. [0003] Existing recognition methods for human motion state are mainly realized by analyzing Doppler signals. However, because the amount of effective information used in the recognition process of this method is relatively small, the recognition accuracy is low. In order to solve this problem, a method of analyzing using micro-Doppler signals has been proposed, but this method has high complexity. Contents of the invention [0004] The technical problem to be solved by the present invention is to provide a target human body motion state recognition method suitable for micro-motion interference scenarios in view of the defects in t...

AI Technical Summary

Problems solved by technology

However, due to the relatively small amount of effective information used in the identification process of this method, the identification accuracy is low

In order to solve this problem, a method of using micro-Doppler signal for analysis has been proposed, but the complexity of this method is high

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