Sub-Nyquist Classification of Frequency Agile Waveforms Navy SBIR FY2012.2 Sol No.: Navy SBIR FY2012.2 Topic No.: N122-140 Topic Title: Sub-Nyquist Classification of Frequency Agile Waveforms Proposal No.: N122-140-0179 Firm: TrellisWare Technologies, Inc. 16516 Via Esprillo Suite 300 San Diego, California 92127-1708 Contact: Cenk Kose Phone: (858) 753-1632 Web Site: www.trellisware.com Abstract: In this program, TrellisWare Technologies, Inc. proposes to develop a three-stage architecture that detects, identifies, and classifies frequency agile signals across extremely wide bandwidths (e.g., 10+ GHz). Using this architecture, signals hopping periodically across extremely wide bandwidths can be classified without resorting to a brute-force, computationally infeasible narrowbanding and energy detection approach. Although TrellisWare proposes to focus on off-line processing of synthetic data in Phase I and real-world data in Phase II, the proposed sub-Nyquist signal processing techniques would all support real-time operation in an FPGA-accelerated SIGINT analysis platform. Benefits: Although at first glance signal intelligence (SIGINT) collection techniques have application in the military alone, sub-Nyquist processing has been proposed for a commercial application that is receiving a great deal of attention: whitespace exploitation via cognitive radio. In the SIGINT application, the goal is classify where signals are in the spectrum; in cognitive radio, the goal is classify where they are not. The classification techniques developed in this program could be applied to both cognitive radio and to signal sorting at base stations (e.g., identifying non-disruptive interlopers and spectral interlopers that seek to evade detection via frequency hopping). Return