Improved particle swarm optimization and its application to full-waveform inversion of GPR
Qian-Wei DAI1,2, Wei CHEN1(), Bin ZHANG1,2
1. School of Geosciences and Info-Physics,Central South University,Changsha 410083,China 2. Key Laboratory of Metallogenic Prediction of Nonferrous Metal and Geological Environment Monitoring,Ministry of Education,Central South University,Changsha 410083,China
Ground penetrating radar (GPR) is a high-precision geophysical exploration method whose main purpose is to invert the physical properties of underground structures.In this paper,an improved particle swarm optimization (PSO) is used to solve GPR inverse problem.The inversion takes the signal mean square error as the objective function and uses the finite-difference time-domain method to do forward modeling.In addition,the inversion accuracy is improved by the amplitude compensation of the forward result.Compared with the results based on classical particle swarm optimization inversion method,the algorithm shows considerable improvement in accuracy and efficiency.An analysis of the one-dimensional inversion results of multi-layer simulation data shows that the inversion method is effective for multi-parameter inversion and has good noise immunity.
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