PRA is proposing an innovative Orthogonal Space Projection (OSP) processing technology and a parallel processing architecture to adaptively cancel discrete clutter in real-time. The OSP technique utilizes adaptive waveform diversity with a suite of waveforms with low correlation time-sidelobes. In addition a unique phase differencing technique is used to identify the location of discrete clutter cells in the Range-Doppler map in order to create a matched and mis-matched projection space. These projection spaces are optimally combined to cancel discrete clutter in the Range-Doppler domain. Optimized waveforms are implemented that further reduce the impact of clutter by adaptively nulling appropriate Range-Doppler cells containing clutter in the time-sidelobes. PRA will define a parallel processing architecture that will compute multiple Range-Doppler maps and complete the OSP processing in real time. OSP can be implemented on a single dwell and does not require multiple dwells for convergence. The advantages of the OSP approach are (1) OSP cancellation adapts to the clutter environment including clutter competing directly with the signal, (2) the OSP waveform can be adapted to minimize the effect of strong discrete clutter by creating nulls in the time-sidelobes at appropriate ranges, and (3) the OSP algorithm can be parallelized for real-time processing.
Keywords: Waveform Diversity, Discrete Clutter, Optimal Cancellation, Parallel Processing, Signal-To-Clutter, Mis-Matched Filtering, Adaptive Cancellation, Multi-Phase Waveform
