High Efficiency SIGINT Collection

Our proposal specifically addresses the stated requirements of the solicitation; we will develop and deploy tools and methods for efficiently collecting, analyzing and classifying narrowband signals within a wide radio-frequency spectrum. The number of potential hostile waveforms in the RF environment will continue to increase with an essentially random distribution. However, at any given time, the overall spectrum population is sparse. Any receiver on an airborne platform attempting to perform SIGNAL Intelligence (SIGINT), or Communications Intelligence (COMINT) currently relies on brute-force Nyquist sampling of wide swaths of spectrum and using storage and processing-intensive methods. The approach we propose aims to reduce the processing, storage, and transmission burden on the SIGINT system by using innovative sampling techniques and algorithms as well as making better choices about where in the spectrum to focus the search for signals of interest. The proposed Edaptive Heiste solution builds on previous Edaptive Computing, Inc (ECI) knowledge and technology itself innovative to provide the user with near real-time intelligence of the various communication signals in the vicinity. The proposed solution will add to the situational awareness of the war-fighter and do so in a manner that does not demand vast hardware and processing resources.