Two-dimensional scattering center automatic correlation method based on ISAR (inverse synthetic aperture radar) image sequence

Abstract

The invention discloses a two-dimensional scattering center automatic correlation method based on ISAR (inverse synthetic aperture radar) image sequence. The method comprises the following steps: firstly searching and tracking a scattering center among sequence ISAR images to obtain the motion direction continuous attribute of the scattering center among ISAR image sequences, namely an observation event sequence; then carrying out ISAR imaging by utilizing classic objects including a cube, a cylinder and a cone under the continuous view angle, and completing the training of HMM (hidden Markova model) parameters by utilizing imaging data; and finally decoding and calculating by utilizing a Viterbi algorithm so as to obtain the correlation attribute of the scattering center sequence. The method does not relate to a Doppler model of a target, so the generality is enhanced greatly, and the correlation algorithm amount is lowered; and meanwhile, through the method disclosed by the invention, the ISAR images are divided into frame groups with equal lengths for processing, so that the situation that the local loss of the scattering center during the tracking process leads to correlation failure can be prevented effectively, thus the correlation robustness is improved effectively.

Description

technical field [0001] The invention relates to a method for associating two-dimensional scattering centers when using ISAR images for three-dimensional reconstruction of a target. Background technique [0002] Scattering center correlation is the premise and foundation of 3D reconstruction. The reliability and reconstruction accuracy of 3D reconstruction results of non-cooperative targets depend on the correct correlation of target scattering centers. At present, most of the literature on 3D reconstruction of non-cooperative targets at home and abroad assumes that the scattering centers have been correctly correlated. In 2003, "Proceedings of the International Radar Conference" published a paper titled "Scatterer labeling estimation fbr 3D model reconstruction from an ISAR image In the article "sequence", in the process of three-dimensional reconstruction of ship targets, a method of scatter point marking (association) based on the minimization of Doppler error of scatterin...

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Problems solved by technology

In this way, the problem of association of scattering centers is transformed into the problem of point clusters in search space, but this method has a large amount of computation and the problem of low reliability of association

[0004] In the doctoral dissertation of National University of Defense Technology published in 2008, the literature titled "Theory and Technology of Three-dimensional Scattering Center Reconstruction of Radar Targets in the Optical Zone" studied the spatial location reconstruction of non-cooperative target scattering centers based on one-dimensional high-resolution range profile (HRRP). The theory and method of reconstruction, and deduced the limit performance of the reconstruction model (Cramér-Rao Bound, CRB), but the key issue of 3D reconstruction is not deeply discussed in this literature, that is, the association of scattering centers

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