ISAR global envelope alignment method based on Tsallis entropy minimization

Abstract

The invention discloses a Tsallis entropy minimization-based inverse synthetic aperture radar (ISAR) global envelope alignment method. The method comprises the following implementation steps of: (1) performing range pulse compression on an echo signal subjected to line frequency demodulation; (2) estimating the envelope offset of each echo by using the minimum Tsallis entropy of the average range profile; (3) aligning each echo according to the calculated envelope offset; (4) calculating the Tsallis entropy of the average distance image after envelope alignment; and (5) repeatedly executing the step (2), the step (3) and the step (4) until the Tsallis entropy of the average range profile is no longer reduced, and completing ISAR global envelope alignment. The method can be used for efficiently and accurately aligning the echo envelope of the moving target, and improves the accuracy and efficiency of global envelope alignment of the inverse synthetic aperture radar (ISAR) while ensuring a better alignment effect.

Description

technical field [0001] The invention belongs to the technical field of radar signal processing, and further relates to an inverse synthetic aperture radar ISAR (Inverse Synthetic Aperture Radar) global envelope alignment method based on Tsallis entropy minimization in the technical field of inverse synthetic aperture radar imaging processing. The invention can be used for performing envelope alignment processing on echo signals of space moving targets with small rotation angles. Background technique [0002] The movement of the target relative to the radar is divided into a rotational component and a translational component. The rotational component is the basis for high resolution in the azimuth direction. The translational component will cause the distance envelope to shift and the initial phase modulation of the echo, which is not beneficial to imaging. components to compensate. Translation compensation is very important for ISAR imaging, and its performance directly aff...

AI Technical Summary

Problems solved by technology

[0005] The purpose of the present invention is to address the deficiencies in the above-mentioned prior art, and propose an ISAR global envelope alignment method based on Tsallis entropy minimization, which is used to solve the inconsistency of each echo range image envelope in the actual measurement data in the prior art. When they are exactly the same, the cross-correlation between a reference range image and each echo range image will cause alignment errors, and it will take a long time to ensure a better alignment effect due to the large number of algorithm iterations

Images