Ultra-Wideband RF Discrimination Techniques

"The objective is to demonstrate the feasibility of fusing extracted Ballistic Missile threat feature data from S- and X- Band radars to improve the probability of correctly identifying the lethal object, compared to using data from either an S- or an X-Band radar alone. This effort will make use of high fidelity S- and X-Band RF polarimetric signature data for cones, spheres, and cyclinders which can be used to represent major objects in a TBM complex. Target RCS is measured by the radar using linearlyprocessed waveforms which employ either non-coherent or coherent pulse-to-pulse integration. Typically non-coherent integration is used to extract narrowband RCS and coherent integration is used to extract wideband RCS. Variations in canonical object RFsignature phenomenology at S- and X-Bands will be examined to identify differentiating features. Examples of differentiating signature phenomenology may include cavity interactions, creeping waves, and traveling waves. Phase I will provide the basisdeveloping RF discrimination algorithms during the Phase II effort that will be tested against BM threat representative signature and trajectory data sets. The discrimination algorithms developed in Phase II will be available for potential insertion intoland and sea-based radars to support BMD mission requirements. We anticipate three approaches to commercialization. The first is the incorporation of the algorithms developed in the US M