Three-dimensional position reconstructing method based on ISAR (inverse synthetic aperture radar) image sequence for scattering point

Abstract

The invention discloses a three-dimensional position reconstructing method based on an ISAR (inverse synthetic aperture radar) image sequence for a scattering point, which comprises the following four links: a target ISAR image gives the distribution information of a target strong scattering point in a radial direction and a transverse direction based on a distance-Doppler high resolution basic principle; data correlation gives a corresponding relationship between two-dimensional projection points in the ISAR image sequence and is realized by utilizing a flight path initialization method through extracting the one-dimensional radial distance information of all the scattering points in an image sequence; an observing matrix is obtained through the following steps: obtaining a target ISAR image sequence through a period of time of sampling, and after the data correlation, and combining the two-dimensional position coordinates of all the corresponding projection points in a sequence to form the observing matrix, so as to form three-dimensional reconstructed known information; and a position matrix is solved through the following step: solving the optimal estimation of a three-dimensional position matrix of a target scattering point from a subspace through carrying out singular value decomposition on the observing matrix and by utilizing a rank theory and using the orthogonality of a projection space as a constraint condition, so as to obtain a target three-dimensional reconstructed image.

Description

technical field [0001] The present invention relates to a method for reconstructing the three-dimensional position of scattering points based on ISAR (inverse synthetic aperture radar) image sequence, in particular how to utilize the two-dimensional projection information of radar target scattering points on the ISAR imaging plane, using rank theory and projection space Orthogonality of the known observation matrix is ​​used to realize the three-dimensional position reconstruction of the target scattering point through the method of singular decomposition, which belongs to the field of radar signal processing. Background technique [0002] With the continuous development of modern radar technology, radar has gone far beyond the initial meaning of "detection and ranging", and has entered a new stage of feature measurement from target parameter measurement. The basic functions of radar have expanded from detection and positioning to feature acquisition and target Recognition, ...

AI Technical Summary

Problems solved by technology

This method makes full use of the projection relationship between the position change of the corresponding scattering point in the two-dimensional image sequence and the three-dimensional position, and uses the observation matrix as the only data source for reconstruction, which indirectly solves the problem that it is difficult to directly obtain the radar viewing angle and target motion parameters.

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