Pine, Samuel J., authorCheney, Margaret, advisorBates, Daniel, committee memberFosdick, Bailey, committee memberPeterson, Christopher, committee member2019-01-072019-01-072019-01-072018https://hdl.handle.net/10217/193166Given a set of time-series data collected from echo-based ranging sensors, we study the problem of jointly estimating the shape and motion of the target under observation when the sensor positions are also unknown. Using an approach first described by Stuff et al., we model the target as a point configuration in Euclidean space and estimate geometric invariants of the configuration. The geometric invariants allow us to estimate the target shape, from which we can estimate the motion of the target relative to the sensor position. This work will unify the various geometric- invariant based shape and motion estimation literature under a common framework, and extend that framework to include results for passive, bistatic sensor systems.born digitaldoctoral dissertationsengradarsignal processingshape from motioninvariantTextThis material is open access and distributed under the terms and conditions of the Creative Commons CC0 1.0 Universal (CC0 1.0) Public Domain Dedication.