Partition human body motion detection method based on continuous wavelet transformation
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The invention discloses a partition human body motion detection method based on continuous wavelet transformation. The partition human body motion detection method is characterized in that a receiver is used to receive a signal waveform after precoding of a transmitter; the received signal can be segmented into signal segments, and the continuous wavelet transformation of each signal segment can be carried out to acquire a transformation matrix, and then the variance vectors of the transformation matrix can be calculated; and at last, by calculating the maximum value of the variance vectors, and the maximum value can be compared with the threshold value to detect whether the human body motion occurs behind the wall. By adopting the continuous wavelet transformation, the weak target detection problem in the strong noise environment can be solved, and whether the human body motion occurs behind the wall can be effectively detected, and therefore the accuracy of the partition human body motion detection can be greatly improved.
[1] Hao Ling,et al. Through-Wall Tracking of Human Movers Using Joint Doppler and Array Processing , 2008, IEEE Geoscience and Remote Sensing Letters.