基于改进粒子群优化的探地雷达波形反演算法  

Ground Penetrating Radar Inversion Algorithm Based on Improved Particle Swarm Optimization

作　　者：郑适[1] 张安学[1] 岳思橙 蒋延生[1] 

机构地区：[1]西安交通大学电信学院,西安710049

出　　处：《电子与信息学报》2014年第11期2717-2722,共6页Journal of Electronics & Information Technology

基　　金：国家自然科学基金(61331005;61001039);中国科学院电磁辐射与探测技术重点实验室资助课题

摘　　要：探地雷达工作的最终目的是反演解释地下结构参数,由于大多数反演问题是非线性的,研究非线性的反演方法具有重要意义。该文提出基于改进粒子群优化方法的探地雷达反演问题,该算法以信号均方误差为目标函数,用时域有限差分方法作为正演工具。通过与基于遗传算法等反演方法的结果对比,说明了该算法兼顾了准确性和简便性;通过对模型复杂、参数多、信噪比差的仿真数据的反演结果,说明了该算法对多参数反演的有效性和良好的抗噪性;对实测数据的反演结果,进一步验证了该算法的可行性。Inversion and interpretation of underground structure are ultimate aim of Ground Penetrating Radar （GPR） working. Most of inversion problems are non-linear, hence, investigations of non-linear inversion methods are significant. In this paper, an improved Particle Swarm Optimization （PSO） is used to solve GPR inverse problem. Comparison results with other inversion including the genetic algorithm show that the proposed method has higher accuracy and better simplicity; inversion results under a condition of complicated model, multi-parameter and low SNR indicate the effectiveness dealing with multi-parameter and better anti-noise ability of the proposed algorithm;the inversion results of actual measurement data further verify the feasibility of this algorithm.

关 键 词：探地雷达 反演算法 非线性 粒子群优化 

分 类 号：TN959.3[电子电信—信号与信息处理]