Affiliation:
1. Institute of Electronic Engineering, Naval University of Engineering, Wuhan 430000, China
Abstract
Uncompensated motion errors can seriously affect the imaging quality of synthetic aperture sonars (SASs). In the existing line-by-line motion compensation (MOCO) algorithms for wide-beam multiple-receiver SAS systems, the approximate form of the range history error usually introduces a significant approximation error, and the residual two-dimensional (2D) range cell migration (RCM) caused by aperture-dependent motion errors is not corrected, resulting in the severe defocus of the image. In this paper, in the presence of translational and rotational errors in a multiple-receiver SAS system, the exact range history error concerning the five-degree-of-freedom (DOF) motion errors of the sway, heave, yaw, pitch, and roll under the non-stop-hop-stop case is derived. Based on this, a two-stage subaperture MOCO algorithm for wide-beam multiple-receiver SAS systems is proposed. We decompose the range history error into the beam-center term (BCT) and the residual spatial-variant term (RSVT) to compensate successively. In the first stage, the time delay and phase error caused by the BCT are compensated receiver-by-receiver through interpolation and phase multiplication in the azimuth-time domain. In the second stage, the data of a single pulse are regarded as a subaperture, and the RSVT is compensated in the subaperture range-Doppler (RD) domain. We divide the range into several blocks to correct RCM caused by the RSVT in the subaperture RD domain, and the phase error caused by the RSVT is compensated by phase multiplication. After compensation, the wide-beam RD algorithm is used for imaging. Simulated and real-data experiments verify the superiority and robustness of the proposed algorithm.
Funder
National Natural Science Foundation of China
Subject
Ocean Engineering,Water Science and Technology,Civil and Structural Engineering
Reference42 articles.
1. Challenges in seafloor imaging and mapping with synthetic aperture sonar;Hansen;IEEE Trans. Geosci. Remote Sens.,2011
2. Multireceiver SAS Imagery Based on Monostatic Conversion;Zhang;IEEE J. Sel. Top. Appl. Earth Obs. Remote Sens.,2021
3. Self-trained target detection of radar and sonar images using automatic deep learning;Zhang;IEEE Trans. Geosci. Remote Sens.,2022
4. Wide-bandwidth Signal-based Multireceiver SAS Imagery Using Extended Chirp Scaling Algorithm;Zhang;IET Radar Sonar Navig.,2022
5. Raven, R.S. (1981). Electronic Stabilization for Displaced Phase Center Systems. (4,244,036), U.S. Patent.
Cited by
1 articles.
订阅此论文施引文献
订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献