Using Sparse Sensors to Locate Signals in the Presence of Interference: FY19 RF Systems Technical Investment Program
MIT Lincoln Laboratory Lexington United States
Pagination or Media Count:
Geolocation of communications signals is an important capability in many civilian, commercial, and defense applications. In many scenarios, the communications signals of interest are wideband and observed in the presence of background interference. Adaptive processing on multiple sensors can cancel background interference and obtain copy and parameter estimates of the signal of interest. Current wideband approaches for localization with multiple sensors primarily use cross correlation, which is relevant when the signal of interest and interference are of similar powers. In this report, several new localization approaches are developed to be able to operate in disparate power regimes through the use of adaptive cancellation. The approaches described efficiently handle delay spread through the use of frequency channelization. A particular iterative demodulation approach also handles Doppler spread due to relative sensor movement.