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Recognition of echo signal applying Wigner's distribution

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7 Author(s)
Yuan Peng ; Autom. control Inst., Harbin Eng. Univ., China ; Zheng-Qing Lin ; Zeng-Wu Liu ; Dong-Hu Nie
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A key and difficult step of echo signal recognition is to extract the effective characteristic of target reflection signal. The research shows that it can limit Wigner's feature extraction for single frequency and single time. For these reasons, we have posed time-frequency analytical method based on Wigner's distribution transformation in the paper. Two kinds of targets True and False are classified by the method. We apply Fuzzy ART network to test the classification ability. When the ratio of signal and reverberation isn't less than 6 dB, the correct recognition ratio can arrive 81% to original echo signal.

Published in:

Machine Learning and Cybernetics, 2003 International Conference on  (Volume:5 )

Date of Conference:

2-5 Nov. 2003