Imaging method for spatially precessing target based on complex envelope phase-matching processing of range images

Abstract

The invention relates to a ground-based radar imaging signal processing technology, in particular to a spatial precession target imaging method based on distance image complex envelope phase matching processing. The method comprises the following steps of S1: constructing a self-adaptive high-speed motion matched filter to realize combined high-speed motion compensation and pulse compression; S2: fast time frequency domain joint translation compensation based on motion parameter estimation; and S3: two-dimensional imaging based on one-dimensional distance image complex envelope phase matching processing. According to the spatial precession target imaging method based on distance image complex envelope phase matching processing provided by the invention, only echo components at scattering points corresponding to a target main body at spatial positions are coherently accumulated through phase matching processing, and echoes of other scattering centers have no coherence during conversion and are mutually offset, so that the focusing performance of scattering points of the target main body is improved; and simultaneously better the interference brought by the non-spin-symmetric component is inhibited. The method can obtain an image with better focusing than generalized Radon transform for low signal-to-noise ratio echo processing.

Description

technical field [0001] The invention relates to a ground-based radar imaging signal processing technology, in particular to a spatial precession target imaging method based on a range image complex envelope (Complex Range Profile Envelope, CRPE) phase matching processing (Phase Matching Processing). Background technique [0002] The imaging processing of space precession targets based on ground-based radar is one of the key technologies of the space target surveillance system. Radar imaging technology can intuitively reflect the two-dimensional geometry and size of the target, obtain the fine structural features of the target, and provide rich information for the identification of the real subject of the target and threat estimation. However, the rotation angle of space precession target flying along the radar line of sight is usually small. If the rotation angle generated by the orbital translation of the center of mass is used to realize radar imaging, it needs a long cohe...

AI Technical Summary

Problems solved by technology

Since the movement law of the scattering point of the non-rotational symmetric part has the coupling characteristics of spin and cone rotation, directly using the existing generalized Radon transform imaging algorithm to image the spatially precessing target containing the non-rotational symmetric part will make the image of the target body blurred.

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