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

Kim, Geunhwan; Lee, KyunKyung; Lee, Seokjin

doi:10.1109/access.2020.3001865

Cited by 8 publications

(12 citation statements)

References 18 publications

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“…Finally, echo information is reconstructed from target echo basis matrices. Although the conventional NMF-based reverberation suppression method has been well used [12,13], room for performance improvement exists. The conventional NMFbased reverberation suppression method's limitations can be explained as follows.…”

Section: Conventional Nmf-based Reverberation Suppression Methods And...mentioning

confidence: 99%

“…To accomplish this goal, the received signal's spectrogram is analyzed using NMF, and the components of the target echo and reverberation are decomposed. Note that we focus on CW reverberation suppression because it is easy to extend the NMF-based CW reverberation suppression method to the LFM reverberation case using the pre-processing method proposed by Kim et al [13].…”

Section: A Problem Statementmentioning

confidence: 99%

“…As with the AR prewhitener, the NMF-based CW reverberation suppression method has been extended to be applied to LFM reverberation [13]. The modified NMF-based reverberation suppression method adopted two pre-processing techniques, namely, dechirping transformation and modulo operation.…”

Section: Introductionmentioning

confidence: 99%

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Reverberation Suppression Method for Active Sonar Systems Using Non-Negative Matrix Factorization With Pre-Trained Frequency Basis Matrix

Kim

Lee

2021

IEEE Access

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In active sonar systems, detection always suffers from reverberation interference from multiple scatterers in oceanic environments; therefore, numerous studies have been conducted on reverberation suppression. Recently, a non-negative matrix factorization (NMF)-based method was proposed and successfully applied to reverberation suppression. However, the conventional NMF-based method makes convergence challenging because the frequency basis matrix is initialized without considering reverberation characteristic information from oceanic environments. To solve these problems, We propose an improved NMF-based reverberation suppression method adopting a pre-trained reverberation basis matrix and modified sparse update rule. The proposed method is evaluated by analyzing simulation and sea experiment data and the study confirmed that the detection performance was improved compared to the conventional method under various signal-to-reverberation ratio conditions. Several topics are also discussed to analyze the proposed method in detail.

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Section: Conventional Nmf-based Reverberation Suppression Methods And...mentioning

confidence: 99%

Section: A Problem Statementmentioning

confidence: 99%

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Reverberation Suppression Method for Active Sonar Systems Using Non-Negative Matrix Factorization With Pre-Trained Frequency Basis Matrix

Kim

Lee

2021

IEEE Access

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“…where bandwidth is Bw, duration is T, central frequency is fc, starting frequency is f0, frequency modulating coefficient is (2).…”

Section: Linear Frequency Modulated Signalmentioning

confidence: 99%

Linear frequency modulated reverberation suppression using time series models

Suman¹,

Hema

Jagadeesh³

2022

IJEECS

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When active radar and <span>sonar systems are used for target detection and tracking, boosting target detection, and tracking efficiency is the most important challenge in real-time reverberation. To eliminate reverberation when transmitting linear frequency modulated (LFM) signals, this study employs time series techniques such as autoregressive (AR), moving average (MA), and autoregressive moving average (ARMA). The primary purpose of this research is to whiten LFM reverberation by transforming it to a fractional domain using the fractional Fourier transform (FrFT). The LFM reverberation is a highly coloured noise whose frequency fluctuates according to the stationary hitting frequency. As a reference signal, the proposed methods make use of the adjacent signal block. The effectiveness of FrFT-based AR, MA, and ARMA pre-whitening for LFM reverberation reduction was assessed, and the results were presente</span>d.

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“…Lee [1] proposed an algorithm for the reverberation suppression of continuous wave signals using nonnegative matrix factorization. As NMF-based reverberation suppression algorithms are only applicable to continuous wave reverberation, Kim [12] proposed two preprocessing methods, namely dechirping transformation and modulo operation, to facilitate application of the NMF method to LFM reverberation. Array processing as an effective method to improve the signal-to-noise ratio is also used for reverberation suppression.…”

mentioning

confidence: 99%

A signal enhancement method based on the reverberation statistical information

Sun

2022

EURASIP J. Adv. Signal Process.

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This paper proposes a reverberation suppression algorithm utilizing fractional lower-order moments based on statistical properties. As fractional lower-order moments can only be applied on symmetric α-stable random variables, the energy redistribution method is used, so reverberation signals can obtain the characteristic exponents of the symmetric α-stable distribution. To evaluate the proposed algorithm, an experiment involving simulated linear frequency modulation reverberation with the proposed method and comparison methods is performed and discussed. Moreover, an experiment is conducted using reverberation as measured from the lake. The results show that the proposed algorithm can achieve better reverberation suppression and signal enhancement performance compared with other methods.

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

Cited by 8 publications

References 18 publications

Reverberation Suppression Method for Active Sonar Systems Using Non-Negative Matrix Factorization With Pre-Trained Frequency Basis Matrix

Reverberation Suppression Method for Active Sonar Systems Using Non-Negative Matrix Factorization With Pre-Trained Frequency Basis Matrix

Linear frequency modulated reverberation suppression using time series models

A signal enhancement method based on the reverberation statistical information

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