Sparse Array Signal Processing: New Array Geometries, Parameter Estimation, and Theoretical Analysis

Sparse Array Signal Processing: New Array Geometries, Parameter Estimation, and Theoretical Analysis

<p>Array signal processing focuses on an array of sensors receiving the incoming waveforms in the environment, from which source information, such as directions of arrival (DOA), signal power, amplitude, polarization, and velocity, can be estimated. This topic finds ubiquitous applications in...

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Bibliographic Details
Main Author: Liu, Chun-Lin
Format: Others
Published: 2018
Online Access:https://thesis.library.caltech.edu/10970/1/Liu_Chun-Lin_2018.pdf
Liu, Chun-Lin (2018) Sparse Array Signal Processing: New Array Geometries, Parameter Estimation, and Theoretical Analysis. Dissertation (Ph.D.), California Institute of Technology. doi:10.7907/NSTQ-SD57. https://resolver.caltech.edu/CaltechTHESIS:05302018-095132389 <https://resolver.caltech.edu/CaltechTHESIS:05302018-095132389>

Internet

https://thesis.library.caltech.edu/10970/1/Liu_Chun-Lin_2018.pdf
Liu, Chun-Lin (2018) Sparse Array Signal Processing: New Array Geometries, Parameter Estimation, and Theoretical Analysis. Dissertation (Ph.D.), California Institute of Technology. doi:10.7907/NSTQ-SD57. https://resolver.caltech.edu/CaltechTHESIS:05302018-095132389 <https://resolver.caltech.edu/CaltechTHESIS:05302018-095132389>

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