Effect of Non-unifrom Sampling on Sonar Focusing

Yang, Peixuan; Liu, Jingshu

doi:10.1109/iccsn55126.2022.9817582

Cited by 6 publications

(2 citation statements)

References 47 publications

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“…For synthetic aperture sonar, the most important step is to process raw echoed signal, which is highly based on the matched filtering [22][23][24]. The multireceiver SAS system made up of a single transmitter and many receivers can be decomposed into many bistatic SAS systems, and the mapping rate can be highly improved compared to traditional monostatic SAS.…”

Section: Introductionmentioning

confidence: 99%

A Comparison of PCA and LBF Based Multireceiver SAS Imaging Algorithms

Wang,

Huang

2023

IEEE Access

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Multireceiver synthetic aperture sonar (SAS) is a useful tool to provide high-resolution images. The most important step lies in developments of multireceiver synthetic aperture image formation processors, which uses the sonar echoed signal as the input. The system transfer function is crucial in the development of signal processors. In order to use traditional imaging algorithms, the monostatic conversion transferring multireceiver SAS signal to monostatic SAS data is often conducted. A review and evaluation of imaging methods based on monostatic conversion is conducted in this article. The relationship of Phase center approximation (PCA) method and Loffeld's bistatic formula (LBF) is firstly reformulated in theory. Considering facts that PCA and LBF methods are the approximation of exact system transfer function, the approximation error of both methods are firstly compared and evaluated by using the numerical system transfer function, which is considered to be the precise system transfer function. Since more approximations of PCA and LBF should be carried out to develop fast imaging algorithms, the actual phase error of both methods is compared and evaluated based on numerical system transfer function. Then, the imaging performance of both methods based on range migration algorithm (RMA) is further evaluated. At last, the relationships of both patent methods are comprehensively described.

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Section: Introductionmentioning

confidence: 99%

A Comparison of PCA and LBF Based Multireceiver SAS Imaging Algorithms

Wang,

Huang

2023

IEEE Access

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“…To solve this contradiction, SAS normally adopts a multi-receiver configuration. This type of SAS is commonly referred to as multi-receiver SAS (Zhang et al, 2021a;Yang and Liu, 2022;Zhang et al, 2022a).…”

mentioning

confidence: 99%

A wide-beam NCS algorithm for multi-receiver SAS based on azimuth spectrum superposition

Ning,

Zhong,

et al. 2023

Front. Mar. Sci.

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The existing multi-receiver synthetic aperture sonar (SAS) imaging algorithms are suitable for narrow-beam width, which will lead to a decrease in imaging quality under wide-beam condition and are not in line with the development needs of SAS. We propose a non-linear chirp scaling algorithm (NCSA) for wide beam multi-receiver SAS. Firstly, the point target reference spectrum (PTRS) of each receiver is obtained by the Lagrange inversion theorem (LIT), and then the under-sampled signal in the azimuth frequency domain is obtained through azimuth spectrum extension; Then, considering the cubic term of range frequency in the PTRS and the linear variation of equivalent frequency modulation slope with range, each receiver is imaged using the NCSA, and coherent superposition is performed in the azimuth frequency domain to eliminate spectrum aliasing caused by azimuth spectrum extension; Finally, the azimuth inverse transform is performed on the superimposed signal to obtain the focusing imaging. Computer simulation experiments and field data verify that this method is superior to the existing SAS imaging algorithm, improving the quality of wide-beam imaging, avoiding the interpolation operation of the traditional range-Doppler algorithm, and saving computation cost.

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An efficient method for the simulation of multireceiver SAS raw signal

Zhang

2023

Multimed Tools Appl

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Effect of Non-unifrom Sampling on Sonar Focusing

Cited by 6 publications

References 47 publications

A Comparison of PCA and LBF Based Multireceiver SAS Imaging Algorithms

A Comparison of PCA and LBF Based Multireceiver SAS Imaging Algorithms

A wide-beam NCS algorithm for multi-receiver SAS based on azimuth spectrum superposition

An efficient method for the simulation of multireceiver SAS raw signal

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