Target equivalent rotation center estimation method for double-base ISAR

Abstract

The invention provides a target equivalent rotation center estimation method for a double-base ISAR and relates to the field of radar signal processing technology. According to echoes received by a double-base radar, a one-dimensional distance image sequence is generated. Through grouping, a first image and a second image are generated and the observation view angle difference of the first image and the second image is calculated. According to a distortion angle calculating formula, a first average distortion angle and a second average distortion angle are calculated. According to the averagedistortion angles, the first image and the second image are corrected and are recorded as a first corrected image and a second corrected image. Further, according to the second corrected image and a rotation conversion formula, a rotation image is generated. Finally, according to the first corrected image and the rotation image, the correlation index of the first corrected image and the rotation image is calculated and the equivalent rotation center is determined. By adopting the technical scheme provided by the invention, the estimation precision of the equivalent rotation center is improved;through introduction of the average distortion angles, the application range of equivalent rotation center estimation is improved.

Description

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AI Technical Summary

Benefits of technology

This technology helps calculate an estimated rotational axis for images that have been subjected to different types of errors such as ghost imaging or imperfections during manufacturing processes. By measuring this data over multiple angles at once, it can be determined how much torque needs correction based on these measurements. Additionally, if there were any issues with the correctness of the image's position relative to other parts of the camera system (such as lens), they could also affect its performance significantly more than just their original design value. Overall, this method provides technical benefits like improved image quality and increased usable range compared to existing methods used alone.

Problems solved by technology

This patented technical solution described in the previous paragraph describes two ways to correct issues related to movement between different parts within an object being imaged due to factors like rotational speed differences during flight. One approach involves approximate equalization centers around specific locations along the line where there's no significant difference in signals caused by back scattered waves returning at that location. Another approach suggests estimating the entire circumference of each part through multiple measurements taken over space. These techniques have limitations such as requiring assumptions made regarding the orientation of the objects themselves and their surrounding environment, limiting applicability across various fields of use.

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