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An adaptive micro-doppler corner point feature extraction method and device

ActiveCN117765268BImprove extraction accuracyRobustDifference of GaussiansFeature extraction
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.
Owner:BEIJING INST OF TECH