High Efficiency SIGINT Collection Navy SBIR FY2012.2 Sol No.: Navy SBIR FY2012.2 Topic No.: N122-121 Topic Title: High Efficiency SIGINT Collection Proposal No.: N122-121-0614 Firm: Invertix Corporation 8201 Greensboro Drive Suite 800 McLean, Virginia 22102 Contact: Brecken Uhl Phone: (575) 646-9316 Web Site: www.invertix.com Abstract: Signals intelligence systems use the established Shannon-Nyquist approach of signal acquisition, setting a sampling requirement based on data rate. This sampling approach is generating operationally impractical amounts of data, most of which goes unused or arrives late. The conventional rate of data-to-information (DTI) conversion is low, and there exists high demand for a solution. A new approach to signal sampling achieves efficient DTI conversion. Our approach exploits mathematical sparsity to produce high accuracy information sensing (ISENSE) with reduced sampling rates. This technique employs the relatively new science of compressive sensing (CS) and compressive processing (CP), which extract information with fewer samples compared than when sampling at the Nyquist rate. As an extension to known CS techniques, ISENSE continuously validates sparsity patterns, taking CS from theory to a deployable technology. We apply ISENSE to the intercept, detection, characterization, classification and identification of emitters. We will illustrate, by qualitative and quantitative measures, how the ISENSE capability maintains DTI accuracy and detection probabilities despite reduced sampling rates, thus improving Naval airborne SIGINT data collection, storage, transport, and processing efficiency. Benefits: As modern radar and communications signals grow in complexity and spectral extent, supporting analog-to-digital converters, data links, data storage, and data processing are pushed to their limits. ISENSE technology has the potential to improve the efficiency and capacity of digital receivers, supporting the modernization of existing Electronic Support Measures (ESM) systems. Benefits will come directly from lower sampling rates by producing less data, making systems robust, efficient, and fast while maintaining high information accuracy. Commercial, military, and private aircraft are equipped with ESM receivers that could benefit from improvements made possible through Compressive sampling (CS) and compressive processing (CP). The proposed R&D effort will be one of the first to take the theory-rich framework and bring it to a relevant technology. This transformation will attract the attention of receiver manufacturers and will establish CS and CP as broadly applicable and valuable to a wide base of future users. Return