Multiscale Signal Processing and Shape Analysis for an Inverse Sar Imaging System
NORTH CAROLINA STATE UNIV AT RALEIGH DEPT OF ELECTRICAL ENGINEERING
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The great challenge in signal processing is to devise computationally efficient and statistically optimal algorithms for estimating signals from noisy background and understanding their contents. This thesis treats the problem of multiscale signal processing and shape analysis for an Inverse Synthetic Aperture Radar ISAR imaging system. To address some of the limitations of conventional techniques in radar image processing, an information theoretic approach for target motion estimation is first proposed. A wavelet based multiscale method for shape enhancement is subsequently derived and followed by a regression technique for shape recognition.
- Active and Passive Radar Detection and Equipment