A Numerical Calculation Method for Frequency-Domain Functions of Multi-Subarray Synthetic Aperture Sonar

Abstract

The invention discloses a multi-subarray synthetic aperture sonar frequency domain system function based on a numerical calculation method, comprising the following steps: S1, calculating the phase dwell point by using the numerical calculation method; S2, using the numerical calculation method to obtain the phase dwell point Calculate the two-dimensional frequency domain system function at points; S3, use the numerical calculation method to calculate the azimuth pulse pressure dwell point for the azimuth matched filter; S4, calculate the phase of the azimuth matched filter function according to the azimuth pulse pressure dwell point; S5, The two-dimensional coupling phase is calculated according to the two-dimensional frequency domain system function and the azimuth matched filter function. The invention effectively overcomes the approximation problem of the traditional multi-subarray synthetic aperture sonar frequency domain system function, and improves the precision of the multi-subarray synthetic aperture sonar system function and the synthetic aperture imaging quality. The invention is not only beneficial to the improvement of the image quality, but also can quickly evaluate the performance of other imaging algorithms instead of the time-domain imaging algorithm.

Description

technical field [0001] The invention belongs to the field of signal processing, in particular to a numerical calculation method for multi-subarray synthetic aperture sonar frequency domain functions. Background technique [0002] Considering multi-subarray synthetic aperture sonar imaging as the inverse process of linear system, the construction of frequency domain system function is very important for fast imaging. The multi-subarray synthetic aperture sonar system contains two one-way slant range histories with root signs, so it is difficult to use algebraic methods to calculate analytical and accurate frequency domain system functions. Traditional fast imaging algorithms are all based on the approximation of the exact system function, which leads to the limitation of the imaging performance by the approximation of the approximate system function to the exact system function. The high-precision system function is not only conducive to the improvement of image quality, but...

AI Technical Summary

Problems solved by technology

The multi-subarray synthetic aperture sonar system contains two one-way slant range histories with root signs, so it is difficult to use algebraic methods to calculate analytical and accurate frequency domain system functions

Traditional fast imaging algorithms are based on the approximation of precise system functions, which results in imaging performance limited by the approximation of the approximate system function to the precise system function

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