Linear Frequency Modulated Reverberation Suppression Using Non-Negative Matrix Factorization Methods, Dechirping Transformation and Modulo Operation

In this study, we propose a reverberation suppression algorithm for linear frequency-modulated (LFM) pulse sonar systems using a non-negative matrix factorization (NMF) method. Because conventional NMF-based reverberation suppression algorithms are only applicable to continuous wave reverberation, w...

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Bibliographic Details
Published in:IEEE access 2020, Vol.8, p.110720-110737
Main Authors: Kim, Geunhwan, Lee, Kyunkyung, Lee, Seokjin
Format: Article
Language:English
Subjects:
Active sonar
Algorithms
Continuous radiation
dechirping transformation
Doppler effect
Experiments
Factorization
False alarms
Mathematical analysis
Matrix decomposition
Matrix methods
modulo operation
non-negative matrix factorization
Performance evaluation
Reverberation
reverberation suppression
Sonar
sparse constraints
Sparse matrices
Spectrogram
System effectiveness
Time-frequency analysis
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Summary:In this study, we propose a reverberation suppression algorithm for linear frequency-modulated (LFM) pulse sonar systems using a non-negative matrix factorization (NMF) method. Because conventional NMF-based reverberation suppression algorithms are only applicable to continuous wave reverberation, we propose two pre-processing methods, namely dechirping transformation and modulo operation, to facilitate application of the NMF method to LFM reverberation. Moreover, we impose additional sparse constraints on the NMF method to improve its performance. To evaluate the proposed algorithm, an experiment involving simulated LFM reverberation is performed. The results thereof show improved detection performance at several signal-to-reverberation ratios and false alarm conditions. Moreover, the proposed algorithm is also applied to sea experiment data. According to the sea experiment analysis, the algorithm is able to suppress the LFM reverberation effectively and improve detection performance in practical LFM pulse sonar systems.
ISSN:2169-3536
2169-3536
DOI:10.1109/ACCESS.2020.3001865