Helios Remote Sensing Systems proposes to develop advanced signal analysis tools for utilization on non-periodic radio frequency (RF) signal sources that have the capability to detect, process, generate and classify non-periodic RF signals such as Ultra Wide Band (UWB), Noise Radars, and Low Probability of Detection (LPD) Radio Frequency (RF) waveforms that do not exhibit sinusoidal characteristics. During Phase I, we will design and analyze an approach to develop advanced signal analysis tools for utilization on non-periodic radio frequency (RF) signal sources. We will evaluate candidate algorithms and validate the approach in a high-fidelity modeling and simulation environment. We will include the development of models and simulations in order to validate the approach, demonstrate feasibility and reduce technical risk for Phase II. The Phase I effort will include prototype plans to be developed under Phase II. During Phase II, we will further refine and optimize the Phase I technical developments and implement algorithms and software into an embedded and GPC demonstration system for characterization of performance for detecting, processing, classifying and generating UWB, Noise Radars, and other signals. In addition, we will develop a transition plan for Phase III.
Benefit: The technology from this SBIR effort will become instrumental in the development of a variety of Department of Defense and commercial radar applications. Activities include supporting integration and demonstration of this technology as a capability enhancement for the Airborne Electronic Attack (AEA) technology on the EA-18G (REAM FNC). Final testing would include demonstrating the suitability of any hardware and software for application into an airborne environment. Although the basic concepts and techniques that will be developed could advance numerous commercial applications, this effort is not intended for the private sector domain. Commercial applications could, with Government approval, include an unclassified variant of this technology which may find use in law enforcement applications where LPD communication techniques are used by those under surveillance. Other unclassified commercial applications might include the US Coast Guard, Homeland Defense, and in the area of wireless communications, so the core technology has wide application. Advanced signal processing techniques are needed in the commercial communications fields, as well. Advanced de-interleaving techniques can be used by communication companies to allow for more users to occupy the same frequency spectrum via more complex spreading techniques.
Keywords: Detection and classification of LPD and LPI radars, Detection and classification of LPD and LPI radars, Non-Periodic, Radar, Signal analysis of non-periodic RF signals, Detect and process and generate and classify non-periodic RF signals, Machine learning classification, Machine learning and artificial intelligence classification of unknown signals, analog-to-information
