Signal Excitation and Processing Algorithm for Target Primitives Enhancement and Classification

To address the MDA"s need to develop various novel signal waveform characteristics and processing algorithms to deduce sensor-invariant target attributes of a tracked object, Physical Optics Corporation (POC) proposes to develop a new Signal Excitation and processing Algorithm for Target primitives Enhancement and Classification (SEATEC). It is based on radar waveform development and signal processing. The innovation in SEATEC will enable the Aegis AN/SPY-1 to discern sensor-invariant target primitives. As a result, this technology offers advantages not only in defense superiority against hostile flying objects but also in increasing situational awareness and air safety to reduce human error, which directly address the MDA/AB requirements. In Phase I, POC will demonstrate the feasibility of SEATEC by developing new RF waveforms and a processing algorithm, compatible with existing AN/SPY-1 radars, that can help deduce target characteristics: reflectivity, emissivity, material construction, and others. POC will identify testing and verification criteria such as target characterization and identification and then verify the performance of SEATEC through analytical and numerical analyses. In Phase II, POC plans to further refine and optimize SEATEC to increase the system"s performance margins and demonstrate technology viability through simulation and testing of slightly modified SPY-1 waveforms based on the proposed SEATEC.