基于仿真的合成孔径雷达(SAR)成像算法验证  

Validation of Synthetic Aperture Radar(SAR) Imaging Algorithm Based on Simulation

作　　者：曾乐天 杨春晖[1] 李强 陈平[1] ZENG Le-tian;YANG Chun-hui;LI Qiang;CHEN Ping(The Fifth Electronic Research Institute of MIIT,Software Quality Engineering Research Center,Guangzhou 510610,China;School of Computer Science and Engineering,South China University of Technology,Guangzhou 510640,China)

机构地区：[1]工业和信息化部电子第五研究所,广州510610 [2]华南理工大学计算机科学与工程学院,广州510640

出　　处：《计算机科学》2019年第B06期287-290,共4页Computer Science

基　　金：中国博士后科学基金资助项目(2017M622621)资助

摘　　要：成像算法是影响合成孔径雷达(SAR)成像性能的关键因素。现有测试方法须借助实际设备、雷达数据和测试环境,且缺乏对成像效果的合理评估,严重影响了测试工作的效率和有效性。针对上述问题,提出了一种基于仿真的SAR成像算法验证方法。首先,采用改进的同心圆法独立生成回波数据,摆脱对实际雷达回波数据的依赖性;然后,结合点目标成像和分布式场景目标成像,采用量化的指标科学评估成像算法的正确性与适用性,提高了算法测试工作的有效性;最后,利用仿真实验证明了所提方法的正确性和有效性。Imaging algorithm is crucial to the performance of the synthetic aperture radar(SAR).Existing testing method not only needs to use real equipment,radar data and testing environment,but also lacks a reasonable evaluation for the imaging result,which greatly affect the efficiency and effectiveness of the software testing.To solve these problems,this paper presented a novel testing method based on simulation for the validation of SAR imaging algorithms.Firstly,the echo data are generated independently via improved concentric circle method,eliminating the real echo data constraint.Then,the correctness and feasibility of imaging algorithms are evaluated scientifically by quantitative indicators combined with point target imaging as well as distributed scene target imaging.The proposed method greatly improves the effectiveness of the testing work.Finally,the correctness and the effectiveness of the proposed method were verified by simulation experiments.

关 键 词：合成孔径雷达(SAR) 仿真 成像算法验证 

分 类 号：TP311[自动化与计算机技术—计算机软件与理论]