Air Force Medical University

Huijun Xue

Yang Zhang

Zhao Li

Jianqi Wang

Fulai Liang

Hao Lv

Ziqi Zhang

Xiao Yu

Teng Jiao

A non-contact method for detecting and distinguishing a human and an animal based on IR-UWB bio-radar signals includes: step 1, transmitting a radar pulse to a target by a transmitting antenna of an IR-UWB bio-radar; and obtaining, by a receiving antenna of the IR-UWB bio-radar, a radar echo signal E(n,m) generated from the radar pulse reflected on the target; step 2: performing signal preprocessing on the radar echo signal E(n,m) obtained in step 1, to obtain a first energy signal E(l); step 3: removing a direct wave from E(l) obtained in step 2 to obtain a second energy signal E(l), and obtaining a maximum amplitude Eof E(l) and a position lcorresponding to the maximum amplitude in a slow time direction; step 4: calculating a peak-to-background ratio Vof E(l), calculating an average correlation coefficient r, and determining a type of the target through a target detection and distinction rule.

Non-contact method for detectiing and distinguishing human and animal based on IR-UWB bio-radar signal

Provided is a multi-target life detection method based on radar signals. The method includes: performing time accumulation in a slow time direction on a preprocessed echo signal to obtain a first echo signal; performing an envelope extraction of inflection points on the first echo signal to obtain a second echo signal; calculating an average value of all amplitude signals in the second echo signal other than M marked amplitude signals; and in response to a ratio of a marked amplitude signal to the average value being greater than a threshold, determining that a living target exists at a radar detection distance corresponding to the marked amplitude signal. According to the life detection method of the present disclosure, a normalization method is adopted to normalize signal amplitudes of the radar in a dimension of fast time (distance). In addition, two envelope extractions of inflection points may be performed.

Multi-target life detection method based on radar signal and detection radar

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Shaanxi, China

Huijun Xue