Research on underground pipeline localization based on multimodal sparrow search algorithm

Zongyu He,Yibing Li,Yuying Wang,Qian Sun

2023 IEEE 11th Asia-Pacific Conference on Antennas and Propagation (APCAP)（2023）

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摘要

Aiming at the problems of high computational complexity and poor real-time performance when MUSIC algorithm is used in multi-dimensional traversal search for underground target location, a multi-modal Sparrow MUSIC fast underground target location algorithm is proposed. The results of simulation and experiment show that the proposed algorithm has high localization accuracy, and compared with the 2D-MUSIC algorithm the average time for target localization is only 1.07%. In addition, compared with the same type of algorithms, the proposed algorithm has a higher search success rate.

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关键词

Search Algorithm,Sparrow Search Algorithm,Fast Algorithm,High Localization Accuracy,K-means,Clustering Algorithm,Population Distribution,Particle Swarm,Individual Subpopulations,Ground Penetrating Radar,Spectral Search,Swarm Intelligence Algorithms,Particle Swarm Algorithm,PSO Algorithm

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