CA-CFAR detection against K-distributed clutter in GPR

Yıldırım Bahadırlar; Mehmet Sezgin

doi:10.1117/12.719362

1 May 2007 CA-CFAR detection against K-distributed clutter in GPR

Proceedings Volume 6553, Detection and Remediation Technologies for Mines and Minelike Targets XII; 65532E (2007) https://doi.org/10.1117/12.719362
Event: Defense and Security Symposium, 2007, Orlando, Florida, United States

Abstract

In this study buried object detection on the GPR data is examined using CA-CFAR detector. In the first part of the study the background signals of B-scan frames from a pulse GPR is statistically inspected. The results revealed that the background signals residual from a removing process of the dominant GPR signals due to air-to-ground interface have shown K-Distributed statistics. The form and scale parameters of K-Distribution are estimated using the fractional moments. The background or the clutter signals from three different soils have resulted in distinctive shape parameters. The shape parameter of the distribution could generally discriminate three soils. In the second part of the study the receiver loss of CA-CFAR detector is estimated using a numerical method and the Monte-Carlo simulation. The receiver loss is also associated to the K-Distribution and CA-CFAR detector parameters in the simulation. Time series with statistical properties similar to those of the real measurements are obtained using SIRV and employed in the Monte-Carlo simulation. In the third part of the study effectiveness of CA-CFAR detector on B-scan frames is analyzed by measuring the ROC of the detector. High detection probabilities of buried objects at relatively low SNR data are obtained by CA-CFAR detector.

Citation Download Citation

Yıldırım Bahadırlar and Mehmet Sezgin "CA-CFAR detection against K-distributed clutter in GPR", Proc. SPIE 6553, Detection and Remediation Technologies for Mines and Minelike Targets XII, 65532E (1 May 2007); https://doi.org/10.1117/12.719362

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available