Clutter Mitigation Techniques for Ground-Based, Gr

Helios Remote Sensing Systems and SRC, Inc. will investigate and validate innovative clutter mitigation techniques for clutter as seen from a radar sensor located near the Earth’s surface. The new techniques will operate effectively in highly non-Gaussian, variable, multifaceted, relatively intractable clutter. Radar operation for dismount detection ranges of 200 meters to 3 km from as low as 0.1 meter to 2 meters from the earth’s surface is of prime concern. Normalized Parametric Adaptive Matched Filter techniques will be investigated for application to multi-channel applications while Linear Predict Error Filter techniques will be investigated for single channel radar applications. These techniques, augmented with data-derived knowledge-aided processing and multiple pass processing, promise to significantly improve clutter suppression and significantly enhance detection of dismounts in severely non-homogeneous clutter environments. Micro-Doppler techniques adapted from previous sense-through-the-wall radar detection and imaging efforts will provide enhancement of target detection and classification. Two maximum likelihood azimuth angle estimators that are compatible with advanced space-time adaptive processing will be investigated to provide enhanced location accuracy. These proposed enhancements of the detection, classification and location of enemy combatants from either unmanned ground vehicles or from stationary positions will provide improved situational awareness to the warfighter.