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Synthetic aperture radar efficient autofocus BP method

A synthetic aperture radar and back projection technology, which is applied in the field of SAR high-precision motion compensation and synthetic aperture radar high-resolution imaging, which can solve the problems of large memory overhead and slow imaging speed.

Inactive Publication Date: 2014-07-09
UNIV OF ELECTRONICS SCI & TECH OF CHINA
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Among them, although the self-focusing BP algorithm based on image intensity has a very good imaging effect, it requires a huge memory overhead and the imaging speed is very slow.

Method used

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Experimental program
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Embodiment Construction

[0087] The present invention mainly adopts the method of computer simulation to verify, and all steps and conclusions are verified correctly on MATLAB-R2010b. The specific implementation steps are as follows:

[0088] Step 1. Initialization of relevant parameters for low-memory efficient self-focusing BP algorithm

[0089] The initialization parameters are all known, and the initialization parameters are as follows: the speed of light is c=3×10 8 m / s; the radar transmits a chirp signal, and the wavelength of the radar transmit pulse is λ=0.03m; the bandwidth of the radar transmit pulse is B=300MHz; the time width of the radar transmit pulse is T p =1×10 -6 s; the radar pulse repetition period is T=0.002s; the range sampling frequency of the radar echo is f s =390MHz; radar echo data matrix is ​​S K×L ; The azimuth points and range points of the radar echo data are K=300 and L=500 respectively, K is also called the number of slow moments; the slow moment vector is t s =[-1...

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Abstract

The invention discloses a synthetic aperture radar efficient autofocus BP method. The synthetic aperture radar efficient autofocus BP method comprises the steps that coarse focus BP imaging is conducted on all pixels in a scene by using a constant speed linear platform track, a small scene region is selected from an image for autofocus BP processing so as to obtain a phase error vector, an accurate APC is obtained with the optimal method on the basis of the phase error vector, and accurate BP imaging is conducted on the whole scene by using the accurate APC. According to the synthetic aperture radar efficient autofocus BP method, only the small pixel region is selected for autofocus BP processing, memory and imaging time are saved greatly, coarse focus BP at the first time and accurate BP at the second time can be executed in parallel in an IMU, and therefore imaging speed and imaging efficiency can be improved more substantially; less memory is occupied and the imaging efficiency is high so that the synthetic aperture radar efficient autofocus BP method can be more suitable for SAR actually measured data processing of large scenes.

Description

technical field [0001] The invention belongs to the technical field of synthetic aperture radar (Synthetic Aperture Radar, SAR) high-resolution imaging, and particularly relates to the technical field of SAR high-precision motion compensation. Background technique [0002] Synthetic Aperture Radar (SAR) is a high-resolution microwave imaging radar, which has the advantages of all-day and all-weather work, and has certain vegetation and ground penetration capabilities, so it is widely used in military and civilian fields. Obtaining high-resolution and high-precision microwave images is an important goal of SAR in applications such as military reconnaissance, geological census, topographic mapping and mapping, and disaster forecasting. However, factors such as wind field and turbulence cause the trajectory of the radar carrier platform to deviate from the ideal trajectory of the design, which seriously affects the quality of SAR images (including focus depth, contrast, etc.). ...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G01S13/90
CPCG01S13/90G01S13/9047G01S13/9017G01S13/9019
Inventor 张晓玲胡克彬何蜀丰赵韩星
Owner UNIV OF ELECTRONICS SCI & TECH OF CHINA
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