Electro Optic Avionic Advanced Guidance, Navigation and Control (GNC) Algorithm Development to Enhance the Lethality of Interceptors Against Maneuveri

Period of Performance: 02/17/2009 - 08/17/2009


Phase 1 STTR

Recipient Firm

Polaris Sensor Technologies, Inc.
200 Westside Square Array
Huntsville, AL 35801
Principal Investigator
Firm POC

Research Institution

Georgia Institute of Technology
225 North Ave NW
Atlanta, GA 30332
Institution POC


Electro-Optical Seekers that utilize a novel GNC Particle Flow processes may better address maneuvering targets and improve track and discrimination functions over traditional solutions. Particle flow processes track objects by estimating the global motion as a function of time. Traditional tracking algorithms using Kalman filters or particle filters have been proposed for finite dimensional representations of shape, but these are dependent on the chosen parameterization and cannot typically handle changes associated with maneuvering targets. This proposal uses data set generator and a low cost high speed FPGA/DSP HWIL platform to demonstrate the application of these algorithms to MDA scenarios. At the completion of Phase I, the Polaris/Georgia Tech team will have a hardware implementation of the Particle Filter guidance and control system that is suitable for testing in a hardware in the loop (HWIL) facility in Phase II.