In underwater acoustics, environmental fluctuations can lead to a loss of coherence in sonar arrays. Among the various approaches that can be considered to mitigate their effects, sub-array processing is a popular and...
详细信息
In this paper, a technique based on sub-array processing and Direction of Arrival estimation is applied, for the localization of buried cavities and dielectric cylinders. The same approach has been previously employed...
详细信息
In this paper, a technique based on sub-array processing and Direction of Arrival estimation is applied, for the localization of buried cavities and dielectric cylinders. The same approach has been previously employed for the sensing of perfectly-conducting objects, with good results. Here, several scenarios are examined, assuming different permittivity values for both the scatterer and hosting medium. The position and size of the cylinder are also varied. Results for air cavity detection are particularly interesting. The proposed procedure can be useful for near-surface probing applications. (C) 2012 Elsevier B.V. All rights reserved.
The identification of buried cables, pipes, conduits, and other cylindrical utilities is a very important task in civil engineering. In the last years, several methods have been proposed in the literature for tackling...
详细信息
The identification of buried cables, pipes, conduits, and other cylindrical utilities is a very important task in civil engineering. In the last years, several methods have been proposed in the literature for tackling this problem Most commonly employed approaches are based on the use of Ground Penetrating Radars, i.e., they extract the needed information about the unknown scenario starting from the electromagnetic field collected by a set of antennas. In the present paper, a statistical method, based on the use of smart antenna techniques, is used for the localization of a single buried object In particular, two efficient algorithms for the estimation of the directions of arrival of the electromagnetic waves scattered by the targets, namely the MUltiple SIgnal Classification and the Support Vector Regression, are considered and their performances are compared. (c) 2013 Elsevier B.V. All rights reserved.
SPOT-GPR stands for "sub-array processing Open Tool for GPR applications" and is a MATLAB-based software that can semi-automatically find and localize ('spot') targets in ground-penetrating radar (GP...
详细信息
ISBN:
(纸本)9789532900880
SPOT-GPR stands for "sub-array processing Open Tool for GPR applications" and is a MATLAB-based software that can semi-automatically find and localize ('spot') targets in ground-penetrating radar (GPR) data. It implements a sub-array processing method, which combines smart-antenna and radar algorithms. In this paper, SPOT-GPR is used to analyse real GPR signals taken from the Open Database of Radargrams of COST Action TU1208. The considered data were recorded over the gneiss 14/20 region of a geophysical test site in Nantes, France, by using a pulsed radar system equipped with 900-MHz ground-coupled antennas. The acquisition line ran over nine steel and PVC pipes hidden in the gravel;the pipes were placed in different positions by the sloping side of the test site, mutually close enough to be strongly interfering. In previous studies, SPOT-GPR had been already tested on synthetic and real data;however, the data analysed in this paper were recorded over a more complex scenario than the previously-considered ones. The preliminary results presented herein show that SPOT-GPR is capable of detecting seven out of the nine targets buried in the test site, and their positions are estimated with variable accuracy. Since all radargrams included in TU1208 database are available for the scientific community, this case study has the added value to enable a comparison of the method implemented in SPOT-GPR with different detection algorithms that will be possibly tested on the same data by other authors in the future.
暂无评论