Active Sonar Deconvolution Matched Filtering Method

Teng, Tingting; Liu, Huimin; Sun, Dong; Xi, Jiachun; Qu, Guangyu; Si, Yang

doi:10.1109/icspcc.2018.8567801

Cited by 1 publication

(1 citation statement)

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“…In recent years, deconvolution has been mainly used to improve angular resolution, being widely used in medical imaging, disturbance suppression, and other areas to improve image quality [25][26][27]. In addition, it has been applied in the field of underwater acoustic signal processing, such as in three-dimensional imaging of synthetic aperture sonar [28][29][30], location or separation of mixed sources of linear array [31][32][33], power spectral estimation [34], linear array beamforming [35,36], imaging of forward-look sonar, or MIMO sonar [37,38]. However, there is limited research on the application of the deconvolution algorithm to improve the image quality of SSS.…”

Section: Introductionmentioning

confidence: 99%

An Image Quality Improvement Method in Side-Scan Sonar Based on Deconvolution

Liu,

Pang,

Yan

et al. 2023

Remote Sensing

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Side-scan sonar (SSS) is an important underwater imaging method that has high resolutions and is convenient to use. However, due to the restriction of conventional pulse compression technology, the side-scan sonar beam sidelobe in the range direction is relatively high, which affects the definition and contrast of images. When working in a shallow-water environment, image quality is especially influenced by strong bottom reverberation or other targets on the seabed. To solve this problem, a method for image-quality improvement based on deconvolution is proposed herein. In this method, to increase the range resolution and lower the sidelobe, a deconvolution algorithm is employed to improve the conventional pulse compression. In our simulation, the tolerance of the algorithm to different signal-to-noise ratios (SNRs) and the resolution ability of multi-target conditions were analyzed. Furthermore, the proposed method was applied to actual underwater data. The experimental results showed that the quality of underwater acoustic imaging could be effectively improved. The ratios of improvement for the SNR and contrast ratio (CR) were 32 and 12.5%, respectively. The target segmentation results based on this method are also shown. The accuracy of segmentation was effectively improved.

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