GPR multi-frequency data fusion algorithm based on regional energy characteristics

Abstract

Ground Penetrating Radar (GPR) is a widely used technology for non-destructive near-ground detection. It is often difficult to balance detection depth and resolution when using a single-frequency antenna. To solve this problem, a novel multi-frequency data fusion algorithm is proposed. The two-dimensional Gaussian weighted window is utilized as a sliding window to analyze regional energy characteristics. By matching multi-frequency data with these properties, the benefits of high resolution for high-frequency data and high amplitude for low-frequency data can be leveraged. The matching threshold is determined using a genetic algorithm. Fusion is then performed based on the matching results obtained. The effectiveness of the proposed algorithm was evaluated through experimental comparisons with other algorithms at frequencies of 900MHz and 1600MHz. The experiment results indicate that the proposed algorithm can enhance the resolution and information content, from which a superior radar profile is acquired.