CAJ | 학술논문

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。
탐지뢰체공작적최종목적시반연해석지하결구삼수，유우대다수반연문제시비선성적，연구비선성적반연방법구유중요의의。해문제출기우개진입자군우화방법적탐지뢰체반연문제，해산법이신호균방오차위목표함수，용시역유한차분방법작위정연공구。통과여기우유전산법등반연방법적결과대비，설명료해산법겸고료준학성화간편성；통과대모형복잡、삼수다、신조비차적방진수거적반연결과，설명료해산법대다삼수반연적유효성화량호적항조성；대실측수거적반연결과，진일보험증료해산법적가행성。
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.