Fast Convolution Backprojection Algorithm for

Spotlight Synthetic Aperture Radar YUAN Yun-neng; SUN Jin-ping; WANG Jun; MAO Shi-yi

您当前的位置：

首页 >

文章列表页 >

Fast Convolution Backprojection Algorithm for

更新时间：2025-07-16

- Fast Convolution Backprojection Algorithm for
- Acta Electronica Sinica Vol. 30, Issue 6, Pages: 864-867(2002)
- 作者机构：
  
  北京航空航天大学电子工程系203教研室,北京,100083
- 作者简介：
- 基金信息：
- DOI：
  CLC： TN957
- Published：2002
- 稿件说明：
移动端阅览
Spotlight Synthetic Aperture Radar YUAN Yun-neng, SUN Jin-ping, WANG Jun, et al. Fast Convolution Backprojection Algorithm for[J]. Acta Electronica Sinica, 2002, 30(6): 864-867.
DOI：

Spotlight Synthetic Aperture Radar YUAN Yun-neng, SUN Jin-ping, WANG Jun, et al. Fast Convolution Backprojection Algorithm for[J]. Acta Electronica Sinica, 2002, 30(6): 864-867. DOI：

摘要

本文对应用于聚束SAR成像的卷积反投影(CBP)算法进行了详细研究

采用子孔径处理的方法

使得这种算法的计算量得到明显的降低.同时

对计算过程的分析表明CBP算法中所涉及的数量巨大的乘法运算可以用加法运算代替

加法操作又可以简单有效地利用可编程逻辑器件进行并行处理.通过上述改进

CBP算法成像处理在计算量降低的同时

硬件结构也得到了很大的简化.论文同时给出了大前斜视角情况下的处理方法、点目标仿真和利用快速CBP算法对E-SAR原始数据的成像结果.

Abstract

In this paper

one of spotlight SAR image formation algorithms

the convolution backprojection (CBP) algorithm

is studied in detail.The subaperture method is proposed to reduce computation load.At the same time

the multiplication

the number of which is very large when using CBP

is mainly substituted by addition which can be parallelly processed using commonly used FPGA or CPLD.The method for processing high squinted angle is also presented and results got from processing raw data of DLR's E-SAR system have validated the improvements described above.

关键词

Keywords

references

Views

1891

下载量

CSCD

Alert me when the article has been cited

提交

Tools

Publicity Resources

A New Extended ETF Imaging Algorithm for Bistatic SAR

High Squint Spotlight SAR Data Processing Using the Frequency Scaling Algorithm

The PFA Imaging Algorithm for Spotlight Mode Bistatic SAR

Cross-Modal SAR Target Detection via Progressive Knowledge Transfer

End-to-End Full Complex-Valued Domain SAR Target Classification Neural Network

Related Author

SUN Jin-ping

BAI Xia

MAO Shi-yi

SUN Jin-ping

YUAN Yun-neng

LIU Zhong-kan

MAO Shi-yi

BAI Xia

Related Institution

Beijing University of Aeronautics and Astronautics

Department of Electronic Engineering,Beijing Univ.of Aeronautics and Astronautics

National Key Laboratory of Radar Signal Processing, Xidian University

College of Electronic Information and Automation， Civil Aviation University of China

The 10th Research Institute of China Electronics Technology Group Corporation

⁰