Continuous Wavelet Transform Seeker Engine for Accurate Target Recognition

"In Phase II, CSC proposes to develop analog image processing technology utilizing the tunable Continuous Wavelet Transform (CWT) for the accurate recognition of midcourse and boost phase targets with specific application to accurate target identification.Hardware-in-the-loop testing and analysis using the existing TAIP spatial convolution engine in conjunction with our temporal image processing chips will proceed throughout Phase II to validate our simulated results. During Phase I, CSC explored theapplicability of the CWT available using our analog spatio-temporal image filtering hardware and developed the necessary simulation capabilities to explore its utility and drive future hardware development. Our novel approach leverages the natural abilityof massively parallel analog circuitry to perform important computationally intensive image processing tasks in real-time, and therefore has potential for handling real-time identification of incoming targets. During this proof-of-concept phase, aspatio-temporal motion-energy analysis technique was developed and applied to scene sets for the discrimination of subtle differences between incoming target types. Phase I results indicate that our CWT image filtering technology is applicable to bothmidcourse and boost phase target recognition."