Moderate squint imaging algorithm for the multiple‐hydrophone SAS with receiving hydrophone dependence

Wu, Haoran; Tang, Jinsong; Zhong, Heping

doi:10.1049/iet-rsn.2018.5055

Cited by 6 publications

(4 citation statements)

References 18 publications

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“…where 𝑑 is the distance from the ith hydrophone to the transponder and 𝑀 is a rot tion matrix given in [14]. According to the location of P and the ith hydrophone at th receiving moment, the distance from P to the ith hydrophone is as follows: In Figure 1a, when the transponder transmits the signal at position (vt, y s , −h − z h ), the distance from the transponder to P(x 0 , r sin θ d , 0) is as follows: R * T (t; x 0 , r) = (vt…”

Section: Exact Range Historymentioning

confidence: 99%

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Two-Dimensional Space-Variant Motion Compensation Algorithm for Multi-Hydrophone Synthetic Aperture Sonar Based on Sub-Beam Compensation

Wu,

Zhou,

Xie

et al. 2024

Remote Sensing

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For a multi-hydrophone synthetic aperture sonar (SAS), the instability of the platform and underwater turbulence easily lead to two-dimensional (2-D) space-variant (SV) motion errors. Such errors can cause serious imaging problems and are very difficult to compensate for. In this study, we propose a 2-D SV motion compensation algorithm for a multi-hydrophone SAS based on sub-beam compensation. The proposed algorithm is implemented using the following four-step process: (1) The motion error of each sub-beam is obtained by substituting the sonar’s motion parameters measured in the exact motion error model established in this study. (2) The sub-beam’s targets of all targets are compensated for motion error by implementing two-phase multiplications on the raw data of the multiple-hydrophone SAS in the order of hydrophone by hydrophone. (3) The data of the sub-beam’s target compensated motion error are extracted from the raw data by utilizing the mapping relationship between the azimuth angle and the Doppler frequency. (4) The imaging result of each sub-beam is obtained by performing a monostatic imaging algorithm on each sub-beam’s data and coherently added to obtain high-resolution imaging results. Finally, the validity of the proposed algorithm was tested using simulation and real data.

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Section: Exact Range Historymentioning

confidence: 99%

“…where d i is the distance from the ith hydrophone to the transponder and M r is a rotation matrix given in [14]. According to the location of P and the ith hydrophone at the receiving moment, the distance from P to the ith hydrophone is as follows:…”

Section: Exact Range Historymentioning

confidence: 99%

Two-Dimensional Space-Variant Motion Compensation Algorithm for Multi-Hydrophone Synthetic Aperture Sonar Based on Sub-Beam Compensation

Wu,

Zhou,

Xie

et al. 2024

Remote Sensing

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“…Therefore, the actual applicable beam width is not large; A research (Zhang, 2014) used the macro range cell migration correction (MRCMC) between different receivers, thereby transforming the multi-receiver SAS into the traditional monostatic SAS model, we called it the RDA-MRCMC. Although this method improves processing efficiency, the phase error caused by the increase in beamwidth and bandwidth may exceed p=4, thereby affecting imaging quality (Wu et al, 2016;Wu et al, 2019;Ma et al, 2023). The poor performance of the above methods is a limitation of RDA itself.…”

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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“…Introduction: Interferometric synthetic aperture sonar (InSAS) [1] employs two or more synthetic aperture sonar (SAS) [2,3] antennas in vertical direction to retrieve the height profile or the deformation of the seafloor. Due to its high measurement accuracy, it is widely used in a wide range of areas [4].…”

mentioning

confidence: 99%

Adaptive filtering method combined with quality map for InSAS interferogram

Huang

Teng

Zhong

2022

Electronics Letters

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The quality of interferogram, which is limited by various phase noise, will greatly influence the subsequent processes of interferometric synthetic aperture sonar (InSAS), such as phase unwrapping and digital elevation model (DEM) estimation. Therefore, phase filtering is an essential step in signal processing for InSAS. In this paper, an adaptive filtering method combined with quality map is proposed to suppress the phase noise while preserving the fringe edges. The main advantage of the new approach is the size of filtering window can be adaptively selected according to the quality map. A function between window size and quality map is established, which controls the strength of filtering. In the area of high quality, the window size is large to remove noise, otherwise, in the low quality area, the window size is small to keep edge details. The effectiveness of the proposed method is validated via some illustrative simulated experiment and the real InSAS data.

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Moderate squint imaging algorithm for the multiple‐hydrophone SAS with receiving hydrophone dependence

Cited by 6 publications

References 18 publications

Two-Dimensional Space-Variant Motion Compensation Algorithm for Multi-Hydrophone Synthetic Aperture Sonar Based on Sub-Beam Compensation

Two-Dimensional Space-Variant Motion Compensation Algorithm for Multi-Hydrophone Synthetic Aperture Sonar Based on Sub-Beam Compensation

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

Adaptive filtering method combined with quality map for InSAS interferogram

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