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Unmanned aerial vehicle synthetic aperture radar imaging range-dependant map drift method

A synthetic aperture radar and unmanned aerial vehicle technology, applied in the radar field, can solve the problem that it is difficult to meet the accuracy requirements at the same time, and achieve the effects of increasing the amount of calculation, improving the estimation accuracy and strong robustness.

Active Publication Date: 2016-10-26
XIDIAN UNIV +1
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AI Technical Summary

Problems solved by technology

The compensation for motion error mainly uses the traditional sub-aperture correlation (Map-Drift, MD) algorithm to estimate the local Doppler modulation frequency, but it is difficult to meet the accuracy requirements of motion error compensation in azimuth and range directions at the same time

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Embodiment Construction

[0024] The following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only some, not all, embodiments of the present invention. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts belong to the protection scope of the present invention.

[0025] An embodiment of the present invention provides an image offset self-focusing method for UAV synthetic aperture radar imaging, such as figure 1 As shown, the method includes the following steps:

[0026] Step 1: The airborne SAR radar receives echo signals within a set time period, and performs rough compensation, range unit migration correction, and range matching filtering on the echo signals within the set time period to obtain rough image data.

[...

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Abstract

The invention belongs to the technical filed of radar and discloses an unmanned aerial vehicle synthetic aperture radar imaging range-dependant map drift method, improving the estimation precision of doppler rate. The range-dependant map drift method includes receiving the echo signal in the set time period, and performing coarse compensation, distance unit migration correction and distance matching filtering in order to obtain coarse image data; segmenting the coarse image data in the azimuth direction to obtain N sub-aperture data blocks; azimuthally de-skewing the sub-aperture data blocks, dividing the sub-aperture data blocks into L distance units, and estimating the second order phase error of each sub-aperture data block; solving the phase error function corresponding to each distance unit in each sub-aperture data block and compensating the residual phase error compensation for the corresponding distance unit; and azimuthally compressing the data after residual phase error compensation to obtain the focused SAR image.

Description

technical field [0001] The invention relates to the field of radar technology, in particular to an image offset self-focusing method for synthetic aperture radar imaging of an unmanned aerial vehicle, which can be used for compensation of space-variant errors of synthetic aperture radar distances. Background technique [0002] Motion compensation of UAV-SAR system (UAV-SAR) is a key technology of UAV-SAR imaging. Today's mainstream compensation imaging technology mainly uses high-precision inertial navigation system and global satellite positioning system to compensate the stability of the carrier aircraft and antenna beam, and then obtains a relatively ideal synthetic aperture radar image through self-focusing imaging algorithm processing. However, it relies too much on the accuracy of the inertial navigation system. In the case of low-altitude flight of the UAV, the motion error has a strong distance-space variation, which increases the difficulty of high-precision synthet...

Claims

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Application Information

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IPC IPC(8): G01S13/90
CPCG01S13/90G01S13/9019
Inventor 张磊周叶剑刘飞扬王虹现
Owner XIDIAN UNIV
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