Clutter Mitigation Techniques for Ground-Based, Gr

Propagation Research Associates, Inc., (PRA) proposes to develop a basic suite of algorithms that will mitigate clutter for ground based radars detecting ground moving targets. PRA will utilize data collected by the Army Research Laboratory Compact Radar (ARL-CR) to design and analyze clutter mitigation algorithms. PRA will develop algorithms that utilize signal statistics in a rule-based algorithm to distinguish between clutter and target returns. The PRA algorithm approach will essentially identify salient statistical features that separate targets from clutter and a functional methodology that implements these features. In Phase I, PRA proposes to develop a feature space for identifying clutter using the statistical measures from which rules are generated for Bayesian or rule-based classification schemes. In particular, PRA will focus upon the urban, suburban, and roadway tunnel structured clutter regimes rather than the classical statistical (foliage) clutter scenarios. In Phase I Option, PRA will develop test plans for Phase II and recommend any required signal processor upgrades necessary to implement and assess the Phase I algorithms. In Phase II, the Phase I both structured and statistical clutter mitigation algorithms will be implemented in the ARL-CR and radar tests will be conducted that demonstrate clutter/target identification and mitigation.