Adaptive Control of Digital Channelized Receivers

One of the difficulties encountered in EW is the amount of spectrum available to target emitters. Effective surveillance of such wide bandwidths requires one or more EW receivers with high instantaneous bandwidths. The outputs of these receivers are usually channelized to facilitate signal detection and characterization. Current channelizers based on FFT filter banks provide channels equally spaced in frequency with identical bandwidths. Some channelizers provide a limited capability to change the spacing and bandwidth, but the change is applied uniformly to all channels. Our approach is based on the use of under-decimated filter banks to implement a dynamic flexible channelizer where each output is independently configured for a desired center frequency and bandwidth. We will also use statistical signal processing algorithms to detect and characterize the electromagnetic environment. This analysis will then be used to dynamically reconfigure the channelizer to track changes in the environment. BENEFIT: This research will develop new techniques for adaptive flexible channelization, which apply to both commercial and military applications for emerging cognitive radio, and cognitive EW. Azure Summit understands the importance of transitioning this Air Force SBIR funded research into usable commercial and/or DoD product technologies. In Phase I, we will begin to develop our commercialization plan, ensuring that the research is goal-oriented from the beginning. Azure will work with the Air Force to ensure that the technologies to be developed in this SBIR are targeting appropriate transition programs.