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

Geunhwan Kim, Kyunkyung Lee, Seokjin Lee

Research output: Contribution to journalArticlepeer-review

11 Scopus citations

Abstract

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.

Original languageEnglish
Article number9115638
Pages (from-to)110720-110737
Number of pages18
JournalIEEE Access
Volume8
DOIs
StatePublished - 2020

Keywords

  • Active sonar
  • dechirping transformation
  • modulo operation
  • non-negative matrix factorization
  • reverberation suppression
  • sparse constraints

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