Passive Localization of Moving Emitters Using Out-Of-Plane Multipath

The purpose of this work is to establish how a moving emitter can be localized by a passive receiver through the use of out-of-plane multipath signals reflected by the terrain. This is a novel localization technique that assumes no a priori knowledge of the location of the multipath sources. The emitter parameters of range, heading, velocity, and altitude are estimated by exploiting the correlation between the direct-path signal and the delayed, attenuated, and Doppler modulated signals reflected by the terrain. Two basic assumptions about the terrain scattering properties lead to different maximum likelihood ML estimators of emitter parameters. The first assumption is that the terrain scattering is fundamentally homogeneous in this case the ML estimator is found to have the structure of a time-varying FIR filter. The second assumption is that the terrain scattering is fundamentally inhomogeneous and dominated by a number of discrete scatterers. This assumption leads to a two-part estimator which first estimates the scattering parameters of azimuth, differential delay, and Doppler shift, and then estimates the emitter parameters using the scatterer parameter estimates. The Cramer-Rao lower bounds of the variances for each estimator are derived and used to study estimator performance for several scenarios. The proposed estimators are successfully demonstrated using field data collected at White Sands Missile Range during the DARPANavy Mountaintop program. Several extensions to the basic results are considered such as localizing pulsed and self-correlated emitters, multiple emitters, and the effects of receiver motion.