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Sensor Arrays And Multi-Channel Systems: Adaptive Algorithms, Analysis, And Bounds
Friday, September 25, 2020 - 12:00pm to 1:00pm
Christ Richmond, Associate Professor in the School of Electrical, Computer and Energy Engineering at Arizona State University (ASU)
Sensor arrays and multi-channel systems play a central role in the activities of everyday society. Cell phones, tablets, and laptops are now commonly fitted with numerous sensors; and many commercial and defense systems such as communication base stations, satellites, airborne surveillance radars, and sea bottom-mounted passive sonars all use various types of sensors arrays. These arrays enable robust detection, classification, localization, and tracking (DCLT) of events of interest, including, for example, a radar target moving through a volume of air-space, or mapping brain activity in response to some stimulus. Statistical signal and array processing theory informs and guides the development of the adaptive algorithms needed for DCLT; and detailed performance analyses reveal their intrinsic behavior and identify vulnerabilities and failure modes that must be well-navigated to obtain robust performance. This talk will highlight recent contributions made by our research group in the areas of adaptive radar, RF shared spectrum, cognitive radar/sonar, synthetic aperture radar image change detection, parameter estimation under model misspecification, and robust adaptive filtering.