Time-domain sensing of targets buried under a rough air-ground interface

Traian Dogaru; Leslie M. Collins; Lawrence Carin

doi:10.1117/12.324145

4 September 1998 Time-domain sensing of targets buried under a rough air-ground interface

Traian Dogaru, Leslie M. Collins, Lawrence Carin

Proceedings Volume 3392, Detection and Remediation Technologies for Mines and Minelike Targets III; (1998) https://doi.org/10.1117/12.324145
Event: Aerospace/Defense Sensing and Controls, 1998, Orlando, FL, United States

Abstract

In this paper we model time-domain plane-wave scattering from targets buried under a rough (random) air-ground interface. The properties of the interface are parametrized as a random process with known statistics. Since the fields incident upon a buried target first penetrate the rough interface, they are random processes as well, and so are the scattered fields. An optimal detector is built based on this model, which takes into account both the clutter and target-signature statistics (the former due to scattering at the rough surface, and the latter due to transmission); the statistics of these two processes are in general different. Detector performance is compared to that of a matched filter, which assumes the target signature is known exactly (i.e., is non-random). The results presented here, as a function of angle and polarization, show that, when the target signature is properly treated as a random process, a gain in detector performance can be obtained. Also, we explain under which conditions this improvement is expected to be significant.

Citation Download Citation

Traian Dogaru, Leslie M. Collins, and Lawrence Carin "Time-domain sensing of targets buried under a rough air-ground interface", Proc. SPIE 3392, Detection and Remediation Technologies for Mines and Minelike Targets III, (4 September 1998); https://doi.org/10.1117/12.324145

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