TY - GEN
T1 - Localizing and identifying underground objects using gravitational measurements
AU - Muravchik, Carlos H.
AU - Nehorai, Arye
N1 - Funding Information:
of Naval Research under Grant no. N00014-91-J1-2 98, the Na-
Funding Information:
'This work was supported by the Air Force Office of Sci- entific Research under Grant no. F49620-93-1-0096, the Office
Funding Information:
This work was supported by the Air Force Office of Scientific Research under Grant no. F49620-93-1-0096, the Office of Naval Research under Grant no. N00014-91-J-1298, the National Science Foundation under Grant no. MIP 9122753 and by Schlumberger-Doll Research. CHM is a member of Comis. de Investig Cientif. de la Pcia. de Buenos Aires (CICPBA).
Publisher Copyright:
© 1995 IEEE.
PY - 1994
Y1 - 1994
N2 - We consider the problem of localizing underground objects and identifying their parameters by measuring the components of the gravity gradient tensor. Applications are oriented towards finding tunnels, pollutants and aquifers, archaeology, oil exploration, verifying compliance with peace treaties (e.g. missile inspection), etc. Close interaction between the physical model and a signal processing approach leads to a source location and parameter estimation problem. We propose several modeling alternatives to solve the non-uniqueness of the inverse problem, though this paper includes only point masses. We use a maximum likelihood procedure to solve the parameter estimation problem. The Cramer-Rao bound is computed and presented for the range and mass of a spheroidal object. Estimation bounds on the location of a single point mass and the resolution for two point masses are studied.
AB - We consider the problem of localizing underground objects and identifying their parameters by measuring the components of the gravity gradient tensor. Applications are oriented towards finding tunnels, pollutants and aquifers, archaeology, oil exploration, verifying compliance with peace treaties (e.g. missile inspection), etc. Close interaction between the physical model and a signal processing approach leads to a source location and parameter estimation problem. We propose several modeling alternatives to solve the non-uniqueness of the inverse problem, though this paper includes only point masses. We use a maximum likelihood procedure to solve the parameter estimation problem. The Cramer-Rao bound is computed and presented for the range and mass of a spheroidal object. Estimation bounds on the location of a single point mass and the resolution for two point masses are studied.
UR - http://www.scopus.com/inward/record.url?scp=2942756754&partnerID=8YFLogxK
U2 - 10.1109/ACSSC.1994.471564
DO - 10.1109/ACSSC.1994.471564
M3 - Conference contribution
AN - SCOPUS:2942756754
T3 - Conference Record - Asilomar Conference on Signals, Systems and Computers
SP - 760
EP - 764
BT - Conference Record - 28th Asilomar Conference on Signals, Systems and Computers, ACSSC 1994
PB - IEEE Computer Society
Y2 - 31 October 1994 through 2 November 1994
ER -