Energy Efficient Signal Classifier for Dense Signal Environment Navy SBIR FY2012.2 Sol No.: Navy SBIR FY2012.2 Topic No.: N122-140 Topic Title: Energy Efficient Signal Classifier for Dense Signal Environment Proposal No.: N122-140-0553 Firm: specom inc. 16885 West Bernardo Drive Suite 285 San Diego, California 92127 Contact: Dragan Vuletic Phone: (619) 884-9523 Abstract: Under the auspices of this SBIR program, Specom, Inc. intends to employ advanced Software Defined Radio (SDR) technology to develop deployable RF Emitter Detection and Classification capabilities that will enable USN and DoD SIGINT and communication systems to rapidly (and potentially in real-time) detect, recognize, identify and classify "next generation" agile, Low Probability of Intercept (LPI), Signals of Interest (SOI) within the dense RF environment anticipated in the electronic battlefield of the future. Where appropriate, the developed RF Emitter Detection and Classification capability will support the real-time dissemination of signal classification information to related wideband communications systems which will enable them to mitigate interference and intrusion issues that result from the SOI in real-time through the use of adaptive Digital Signal Processing (DSP) and Cognitive Radio (CR) techniques. Benefits: Benefits of the technology developed by Specom, Inc. under the auspices of this SBIR program, include low latency, energy efficient, advanced Digital Signal Processing (DSP) based Signal Classifiers capable of detecting, identifying, tracking and classifying frequency agile, Low Probability of Intercept (LPI) Signals of Interest (SOI) in diverse, wideband and dense RF environments. The Signal Classifiers employ advanced DSP techniques that minimize the signal processing and data storage requirements and which lend themselves to cost-effective and field-deployable, low Size, Weight and Power (SWAP) systems that will significantly improve the performance of next-generation DOD SIGINT and communications systems that must confront sophisticated, next generation electronic threats. In addition, these technologies have the ability to improve both DOD and Commercial Cognitive Radio (CR) based communication systems, including those operating in unlicensed bands such as IEEE 802.22 and IEEE 802.15, since the same techniques used to detect and classify SOI may be used incorporate of enhanced agility into CR algorithms to mitigate intrusion and interference from SOI and improve available bandwidth. Return