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Frequency‐domain multireceiver synthetic aperture sonar imagery with Chebyshev polynomials
by
Zhang, Xuebo
, Sun, Haixin
, Yang, Peixuan
in
Algorithms
/ Approximation
/ Chebyshev approximation
/ Polynomials
/ Sidelobes
/ Simulation
/ Sonar
/ Synthetic apertures
/ Transceivers
/ Transmitters
2022
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Frequency‐domain multireceiver synthetic aperture sonar imagery with Chebyshev polynomials
by
Zhang, Xuebo
, Sun, Haixin
, Yang, Peixuan
in
Algorithms
/ Approximation
/ Chebyshev approximation
/ Polynomials
/ Sidelobes
/ Simulation
/ Sonar
/ Synthetic apertures
/ Transceivers
/ Transmitters
2022
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Frequency‐domain multireceiver synthetic aperture sonar imagery with Chebyshev polynomials
Journal Article
Frequency‐domain multireceiver synthetic aperture sonar imagery with Chebyshev polynomials
2022
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Overview
Based on Chebyshev polynomials, the two‐way slant range is first approximated by the fourth‐order polynomial approximation. With the series reversion method, the point target reference spectrum (PTRS) which is further used for the development of imaging algorithm in this letter is obtained. The presented method processes the echoed signal corresponding to each transmitter/receiver pair. And then a high‐resolution synthetic aperture sonar (SAS) image is obtained by coherently superposing all coarse‐resolution images. Comparing the peak sidelobe ratio (PSLR) and integration sidelobe ratio (ISLR), the performance of the presented method is superior to that of the traditional method. Simulations are further validated by the presented method. To improve the imaging performance, a novel imaging algorithm based on Chebyshev polynomials is discussed in this paper.
Publisher
John Wiley & Sons, Inc,Wiley
Subject
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