Helios Remote Sensing Systems, Inc. SBIR Phase I Award, July 2019

Helios Remote Sensing Systems, Inc. proposes to survey the most prevalent AAA systems and their characteristics, evaluate signatures of various AAA systems, and determine their salient most likely operating parameters. We plan to model the radar cross section (RCS) and scintillation statistics of most prevalent AAA systems and determine the signal to clutter ratio for various airborne radar systems including AC-130 or X-band weather radars. We will also investigate the feasibility of detecting and back-tracking AAA shells in flight in various clutter conditions. We will develop a knowledge aided decision algorithm to determine the most likely AAA threat locations. Under the Phase II effort, we will evaluate various algorithms improvements, determine operating requirements, and complete trade-off studies for various airborne radars and waveforms. We will also develop, demonstrate, and validate the most promising AAA detection techniques using measured data and determine computational requirements.