Sparsity-driven adaptive enhancement of underwater acoustic tonals for passive sonars

Yu, Haohui; Chi, Cheng; Liang, Guolong

doi:10.1121/10.0001017

Cited by 18 publications

(11 citation statements)

References 32 publications

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“…The output SNRs were estimated using the method described in Ref. [4]. The SNR gains and the ratios of the input and output SNRs were calculated using Equation (9).…”

Section: Simulationmentioning

confidence: 99%

“…In passive sonar detection, it is commonly assumed that a discrete signal model consisting of the tonals and wideband noise can be written as follows [4]:

x (k) = \sum_{i = 1}^{M} A_{i} \sin (2 π f_{i} k + φ_{i}) + n (k),

where

M

is the number of the tonals, k indicates the time index,

A_{i}

f_{i}

, and

φ_{i}

represent the amplitude, frequency, and initial phase of the i th tonal, respectively, and

n (k)

is the wideband noise component. For simplicity, this study only considers the case of

M = 1

in Section 2.2.…”

Section: Basicsmentioning

confidence: 99%

“…The narrowband components in the noise radiating from underwater or surfaces vehicles, which are also referred to as tonals or lines, are important for passive sonar detection [1][2][3][4][5][6][7]. These tonals originate from the propellers and machines of the aforementioned vehicles and have higher power and stability than the wideband components (continuous spectrum) in the radiated noise, which are mainly caused by cavitation [1,3,6].…”

Section: Introductionmentioning

confidence: 99%

“…These tonals originate from the propellers and machines of the aforementioned vehicles and have higher power and stability than the wideband components (continuous spectrum) in the radiated noise, which are mainly caused by cavitation [1,3,6]. In the present study, it is considered that in order to improve the detection performances of tonals in passive sonar systems, a method for enhancing the tonals is necessary [2,4,5].…”

Section: Introductionmentioning

confidence: 99%

“…Adaptive line enhancers (ALEs) have been successfully applied in passive sonar signal processing to enhance tonals [2,4,[12][13][14]. ALEs make use of the correlation differences between the tonals and the wideband noise components [2] and are considered to be important applications of adaptive filtering techniques [13,14].…”

Section: Introductionmentioning

confidence: 99%

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Deep‐learning‐based line enhancer for passive sonar systems

Chi

et al. 2021

IET Radar Sonar & Navi

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Detection of acoustic tonals from surfaces and underwater vehicles is important for passive sonar systems. Enhancements of the tonals are usually necessary in passive sonar prior to detections. Conventionally, passive sonars employ adaptive line enhancers (ALE) in order to realise enhancements of the tonals. However, ALEs have requirements on their input signalto-noise ratios (SNR). When the SNR inputs are too low, the ALEs cannot perform well. Therefore, for the purpose of overcoming the limitations of the SNR inputs to ALEs, this study proposes to enhance tonals using unsupervised deep-learning techniques. The proposed deep-learning-based line enhancer (DLE) is based on an autoencoder neural network. The simulation results show that when the input SNR is −28 dB, the proposed DLE still achieves an SNR gain of 15 dB. However, the reference ALE fails. The experimental results also demonstrate the superiority of the proposed DLE.

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“…The output SNRs were estimated using the method described in Ref. [4]. The SNR gains and the ratios of the input and output SNRs were calculated using Equation (9).…”

Section: Simulationmentioning

confidence: 99%

“…In passive sonar detection, it is commonly assumed that a discrete signal model consisting of the tonals and wideband noise can be written as follows [4]: