Technical Program

Paper Detail

Paper:ITT-L2.5
Session:Defense Applications
Time:Friday, May 21, 10:50 - 11:10
Presentation: Lecture
Topic: Industry Technology Track: Radar and Sonar
Title: SIGNAL-DEPENDENT ERROR IN SPECULAR MULTIPATH ESTIMATION
Authors: Douglas Colclough; University of Rochester 
 Edward Titlebaum; University of Rochester 
Abstract: Signal-dependent error for least squares specular multipath estimators is analyzed for active sensors. The error analysis also applies to other deconvolution techniques for multipath estimation such as Projection Onto Convex Sets (POCS) that use square error as a constraint. The results explain how the selection of transmit signal affects estimator performance. Example mean square error plots are provided for a linear frequency modulation (LFM) signal to demonstrate the results. Given the set of possible locations for multipath components, the optimum signal to minimize square error can be selected using these results.
 
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