Title :
A Novel Direction-Finding Algorithm for Directional Borehole Radar
Author :
Takayama, Takuya ; Sato, Motoyuki
Author_Institution :
Tohoku Univ., Sendai
Abstract :
A directional borehole radar system has been developed for the purpose of 3-D imaging of subsurface targets in a single-hole measurement. The radar system is equipped with a uniform circular array consisting of four dipole antennas as a receiver in order to realize azimuth bearing sensitivity. We propose a new direction-finding (DF) algorithm that is suitable for directional borehole radar measurement, and we apply this algorithm to actual field measurement data. This algorithm is based on the Adcock DF antenna principle where the complex time series (analytic signal) expression, the optimization, and the filtering procedure are incorporated to provide more accurate estimation. The algorithm was first verified in a transmission measurement in boreholes with a cross-hole configuration (15 m apart from each other) by estimating a direction of the incident wave from a transmitter to the receiver. Finally, the algorithm was applied to single-hole measurement data to demonstrate the ability to detect the 3-D location of a subsurface tunnel which was located 5.5 m from the borehole. The result showed fairly good agreement with the actual location of the tunnel, i.e., to an azimuth estimation error of within 10deg.
Keywords :
buried object detection; dipole antenna arrays; geophysical techniques; ground penetrating radar; radio direction-finding; 3D imaging; Adcock DF antenna principle; azimuth bearing sensitivity; dipole antenna circular array; direction-finding algorithm; directional borehole radar; distance 15 m; distance 5.5 m; estimation; filtering procedure; optimization; radar system; single-hole measurement; subsurface targets; Antenna arrays; Antenna measurements; Azimuth; Dipole antennas; Filtering algorithms; Navigation; Radar antennas; Radar imaging; Radar measurements; Receiving antennas; Analytic signal; antenna array; directional borehole radar; filtering; optimization;
Journal_Title :
Geoscience and Remote Sensing, IEEE Transactions on
DOI :
10.1109/TGRS.2007.901526