This paper presents a distributed multi-modality sensor network concept for vehicle classification within perimeter of a
surveillance system. This perimeter surveillance concept represents a "Virtual RF Fence" consisting of remotely
located electro-optic surveillance cameras and a standoff range radar system. The perimeter surveillance system
vigilantly monitors the field and each time a vehicle crosses the virtual RF fence it informs the surveillance cameras to
actively monitor the activity of vehicles as it passes through the field. This paper describes the methodologies applied
for processing the EO imagery data including target vehicle segmentation from background, vehicle shadow
elimination, vehicle feature vector generation, and a neural network approach for vehicle classification. A metric is also
proposed for evaluation of performance of the vehicle classification technique.
Position-Adaptive Radar concepts have been formulated and investigated at the AFRL within the past few years.
Adopting a position-adaptive approach to the design of distributed radar systems shows potential for the development of
future radar systems that function under a variety of new and challenging environments. Specifically, we investigate
notional control geometries and trajectories for multi-platform SUAV applications by integrating additional
electromagnetic scattering-based metrics within more generic overall objective functions for multi-SUAV controls
systems. We show that the formulation of these new categories of objective functions lead to realizations of multiplatform
SUAV trajectories that position adaptively converge to a set of RF leakage points. After position-adaptive
convergence to a set of leakage points, we show that an embedded scatterer (i.e. a metal cylinder) can be imaged by
applying radar processing techniques derived for sparse apertures.
This paper addresses a number of design issues that are associated with integrating lightweight and low-cost RF (Radio
Frequency) sensors onto small UGV's (Unmanned Ground Vehicles) and UAV's (Unmanned Aerial Vehicles).
Modular\integrated RF sub-systems functions that are discussed include lightweight software programmable radar (or
software radar) using COTS software radio components and compact microstrip antenna design concepts for low-frequency
surface penetration radars. A discussion on the potential for implementing lightweight multi-function RF
systems as well as a discussion on novel futuristic concepts that explore the limits of sensor/platform integration is