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Article

An Improved Imaging Algorithm for Multi-Receiver SAS System with Wide-Bandwidth Signal

by 1,* and 2
1
College of Physics and Electronic Engineering, Northwest Normal University, Lanzhou 730070, China
2
Acoustic Signal & Electronics Science and Technology Corporation, Lanzhou 730050, China
*
Author to whom correspondence should be addressed.
Academic Editor: Andrzej Stateczny
Remote Sens. 2021, 13(24), 5008; https://doi.org/10.3390/rs13245008
Received: 6 November 2021 / Revised: 3 December 2021 / Accepted: 8 December 2021 / Published: 9 December 2021
(This article belongs to the Special Issue Remote Sensing for Shallow and Deep Waters Mapping and Monitoring)
When the multi-receiver synthetic aperture sonar (SAS) works with a wide-bandwidth signal, the performance of the range-Doppler (R-D) algorithm is seriously affected by two approximation errors, i.e., point target reference spectrum (PTRS) error and residual quadratic coupling error. The former is generated by approximating the PTRS with the second-order term in terms of the instantaneous frequency. The latter is caused by neglecting the cross-track variance of secondary range compression (SRC). In order to improve the imaging performance in the case of wide-bandwidth signals, an improved R-D algorithm is proposed in this paper. With our method, the multi-receiver SAS data is first preprocessed based on the phase center approximation (PCA) method, and the monostatic equivalent data are obtained. Then several sub-blocks are generated in the cross-track dimension. Within each sub-block, the PTRS error and residual quadratic coupling error based on the center range of each sub-block are compensated. After this operation, all sub-blocks are coerced into a new signal, which is free of both approximation errors. Consequently, this new data is used as the input of the traditional R-D algorithm. The processing results of simulated data and real data show that the traditional R-D algorithm is just suitable for an SAS system with a narrow-bandwidth signal. The imaging performance would be seriously distorted when it is applied to an SAS system with a wide-bandwidth signal. Based on the presented method, the SAS data in both cases can be well processed. The imaging performance of the presented method is nearly identical to that of the back-projection (BP) algorithm. View Full-Text
Keywords: synthetic aperture sonar; multi-receiver; R-D algorithm; approximation error; imaging performance synthetic aperture sonar; multi-receiver; R-D algorithm; approximation error; imaging performance
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MDPI and ACS Style

Zhang, X.; Yang, P. An Improved Imaging Algorithm for Multi-Receiver SAS System with Wide-Bandwidth Signal. Remote Sens. 2021, 13, 5008. https://doi.org/10.3390/rs13245008

AMA Style

Zhang X, Yang P. An Improved Imaging Algorithm for Multi-Receiver SAS System with Wide-Bandwidth Signal. Remote Sensing. 2021; 13(24):5008. https://doi.org/10.3390/rs13245008

Chicago/Turabian Style

Zhang, Xuebo, and Peixuan Yang. 2021. "An Improved Imaging Algorithm for Multi-Receiver SAS System with Wide-Bandwidth Signal" Remote Sensing 13, no. 24: 5008. https://doi.org/10.3390/rs13245008

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