Imaging method of bistatic SAR (synthetic aperture radar) based on GPU (graphics processing unit) back projection

A technology of synthetic aperture radar and back projection, which is applied in the field of radar and dual station synthetic aperture radar imaging, and can solve the problem of low processing efficiency

Inactive Publication Date: 2013-01-02
UNIV OF ELECTRONIC SCI & TECH OF CHINA
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Problems solved by technology

[0005] The purpose of the present invention is to address the problem of low processing efficiency in the existing dual-static SAR imaging method, and propose a dual-static synthetic aperture radar imaging based on GPU backward projection based on the combination of the improved fast factorization backward projection method and GPU method, it optimizes the hierarchical parameters of the traditional fast factori

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  • Imaging method of bistatic SAR (synthetic aperture radar) based on GPU (graphics processing unit) back projection
  • Imaging method of bistatic SAR (synthetic aperture radar) based on GPU (graphics processing unit) back projection
  • Imaging method of bistatic SAR (synthetic aperture radar) based on GPU (graphics processing unit) back projection

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[0152] The present invention mainly adopts the method of simulation experiment to verify the feasibility of the scheme, and all steps and conclusions are verified correctly on MATLAB7.0, Visual Studio2010 and GeForce GT240 graphics cards. The specific implementation steps are as follows:

[0153] Step 1: Initialize the parameters

[0154] See the attachment for details Figure 5 ;

[0155] Step 2: Calculate the historical position of the antenna phase center

[0156] Adopt formula P ‾ t ( n ) = P t 0 ‾ + V ‾ t · n / PRF Calculate the antenna phase center vector at the nth PRF time of the radar launch platform Adopt formula Calculate the antenna phase center vector at the nth PRF time of the radar receiving platform n=1,...,1024, n represents the nth PRF moment, the size of the storage space occupied by the antenna phase center vector of all 1024 PRF moments of the transmitting platform, denoted as P t_size =3·1024·8byte, t...

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Abstract

The invention discloses an imaging method of a bistatic SAR (synthetic aperture radar) based on GPU (graphics processing unit) back projection. Classification parameters of traditional rapid factorization back projection are optimized and imaging processing efficiency is improved compared with the traditional rapid factorization back projection. Imaging tasks are divided into a plurality of unrelated subtask groups to facilitate parallel processing of the subtask groups by a GPU, and processing unit is improved again through novel parallel strategies. Compared with existing bistatic SAR imaging methods, advantages, such as low internal memory overhead and easy motion compensation, of time domain methods are kept, fast imaging with large data throughput of the bistatic SAR is achieved, processing efficiency is also improved greatly, and high-quality imaging is achieved.

Description

Technical field [0001] The technical invention belongs to the field of radar technology, and particularly relates to the field of dual-station synthetic aperture radar imaging technology. Background technique [0002] Bistatic synthetic aperture radar (BSAR) refers to a SAR system in which the transmitting and receiving antennas are placed on two different platforms. Compared with traditional single-station SAR, dual-station SAR has the advantages of good concealment, high security, and strong anti-interference ability, and can realize some special application modes that single-station SAR cannot achieve, such as forward-looking imaging and forward-looking Imaging is a very valuable imaging mode, which can be applied to navigation, aircraft navigation and landing in severe weather. In view of the multiple advantages of dual-site SAR, the research on dual-site SAR technology is of great significance. [0003] Fast Factorized Backprojection (Fast Factorized Backprojection, referred...

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Application Information

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IPC IPC(8): G01S13/90
Inventor 张晓玲于淼
Owner UNIV OF ELECTRONIC SCI & TECH OF CHINA
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