Feature Detection Architecture for Low Processing Capable Radios

Spectrum sensing by far is the most important component for the establishment of cognitive radio. Spectrum sensing is the task of obtaining awareness about the spectrum usage and existence of primary users in a geographical area. Sensing for cognitive radio applications requires high sampling rate, high resolution analog to digital converters (ADCs) with large dynamic range, and high speed signal processors. Concentris will develop and demonstrate a Feature Detection Sensor architecture for embedded military radio applications with significantly improved performance capabilities over existing architectures in terms of decreased power consumption, faster detection time, and reduced processing and memory requirements. A model of the new architecture will be developed to evaluate the performance of the new architecture. These models should be developed such that they can be deployed on a typical radio platform for lab evaluation, such as the Spectrum Signal SDR4000 or the Ettus Research USRP, with final deployment on an existing DSA enabled tactical radio.