3D Imaging Algorithm of Directional Borehole Radar Based on Root-MUSIC

Author:

Wang Wentian,Liu SixinORCID,Shen Xuzhang,Zheng Wenjun

Abstract

A directional borehole radar consists of one transmitting antenna in the borehole and four receiving antennas distributed at equal angles in a ring. The receiving antennas can determine the depth and orientation of targets beside the borehole. However, the problem of target orientation determination and 3D imaging algorithms remains a technological challenge. The MUSIC (multiple signal classification) algorithm requires a peak search, so the accuracy of the operation is limited by the angle interval. Based on the MUSIC algorithm, the Root-MUSIC algorithm is proposed and implemented. By replacing the spectral peak search with calculating the roots of the polynomials greatly improves the orientation recognition accuracy. Finally, the results obtained using the above algorithm are verified with synthetic data and compared with the results of the MUSIC algorithm. The results show that both the MUSIC algorithm and the Root-MUSIC algorithm can achieve very good orientation determination and 3D imaging results. In terms of accuracy, the Root-MUSIC algorithm has an obvious improvement compared with the MUSIC algorithm.

Publisher

MDPI AG

Subject

General Earth and Planetary Sciences

Cited by 7 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Design of a Directional Borehole Radar System;2024 Photonics & Electromagnetics Research Symposium (PIERS);2024-04-21

2. 3-D Directional Borehole Radar Imaging Based on Echo Separation;IEEE Transactions on Geoscience and Remote Sensing;2024

3. Influence of a Horizontally Polarized Wave Incidence on DOA Estimation by a Dipole Array Antenna in a Borehole;IEEE Transactions on Geoscience and Remote Sensing;2024

4. Simulation of electromagnetic high-frequency wave propagation processes in multilayer geo-structures;Geohazard Mechanics;2023-09

5. A 3-D Directional Borehole Radar Imaging Method for Rough Fractures: Numerical Simulation and Analysis;IEEE Transactions on Geoscience and Remote Sensing;2023

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