The application discloses a kind of self-adapting micro-doppler corner point
feature extraction method and device, comprising: it is proposed to use micro-doppler corner point feature to realize through-wall
radar human behavior recognition, and gives a kind of self-adapting corner point
feature extraction method based on Gauss difference
convolution filter and deformable
convolution network;Micro-doppler corner point feature is defined as the point that gray scale sharply changes in different directions in
radar square distance-time image and square doppler-time image, reflects the inflection point of
human body limb node's motion trajectory curve, stationary point, curve intersection and boundary;The corner point
feature extraction method proposed uses Gauss difference
convolution filter to extract micro-doppler corner point supervision
label on
simulation data, then trains μD-CornerDet model using these labels;
Inference stage, only μD-CornerDet model is used to obtain corner point feature map for measured data;The application verifies the effectiveness and robustness of the proposed method through numerical
simulation and measurement.