In order to accurately identify ground targets from radar observations on distributed airborne sensors, range and range-rate
measurement data must be either processed onboard the aircraft or at a common control station. This paper will
show analysis and results that examine the ability of multiple sensors to provide observability of moving targets.
Extremely accurate states are required to support imaging algorithms used to discriminate military targets from civilian
targets. Accurate imaging of targets of interest requires sub-meter range accuracy as well as precise knowledge of the
target heading which is related to the velocity vector accuracy. The tracking algorithms must provide range accuracy on
the order of meters depending on the target spacing and scenario; the imaging pre-processing algorithms can reduce this
error to sub-meter levels. Stringent requirements on heading accuracy may be obviated by the use of prominent point
The user-friendly platform for ground-based radar analysis of debris environments (UPGRADE) workstation consists of a simulation architecture that has been developed to provide a flexible framework for modeling post-intercept debris and the resultant return signal produced by a radar situated in the vicinity of the debris impact point and illuminating the cloud of debris fragments. Characterization of the debris and radar signal is a complex process requiring models which can be brought together in an integrated visualization package. The UPGRADE architecture consists of a graphical user interface (GUI) which controls a group of MATLAB components used to generate inputs and graphical output products and C language modules which perform the analytic and algorithmic procedures required to generate and process the debris data.