期刊
IEEE SIGNAL PROCESSING LETTERS
卷 24, 期 4, 页码 451-455出版社
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/LSP.2017.2672601
关键词
Acoustic channel suppression; feature extraction; mel-frequency cepstral coefficient (MFCC); passive sonar target classification; spectra multiplication method
资金
- National Natural Science Foundation of China [61501375, 11374241]
- Fundamental Research Funds for the Central Universities [3102016ZY006]
Traditional feature extractions, such as melfrequency cepstral coefficients (MFCCs), are susceptible to acoustic channel effects, reverberation, and additive environmental noises when applied to passive moving target classification in underwater environment. A spectra multiplication method (SMM) is proposed in this letter to replace the estimated spectrum ofMFCCs. SMMsuppresses the time-variant noise, and remarkably improves the discriminability of features with historical signals. Compared with traditional MFCCs, the proposed method shows consistent performance improvements in experiments with measured data under different parameter settings. The effect of multiplication order of SMM on classification accuracy has also been discussed. Since the SMM is generalized to a filter-based view, the relation between cutoff frequency and multiplication order is given. The change of classification accuracy induced by the multiplication order is in accord with the variation of cutoff frequency when designed by IIR filters.
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