An approach to object recognition using CTFM sensing
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摘要
An approach to recognizing two objects using CTFM ultrasonics is discussed in this paper. Extracting features from each object echoes power spectral density is detailed, and a method of object recognition using feature vectors and the Mahalanobis distance is presented. The results of this research indicate that it is possible to recognize simple geometry objects like a table and chair, which produce little information in their echoes. It is also possible to differentiate between varying perspectives of the same object.

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