Superresolution of Coherent Sources in Real-Beam Data
- Cancer research
- Computational imaging
- Optics and image science
- Computational biophysics
- Cancer systems biology
- Image processing, analysis, and diagnostics
- Radar signal processing
- Bio-statistics and quantum information theory
This work looked at unique issues arising when attempting to resolve
direction of arrival (DOA) of coherent signals that are
separated by less than an antenna beamwidth, when the measurements
are made in the beamspace domain. This work proposed a method
to resolve these coherent signals by interpolating multiple shifted element-space virtual arrays
that breaks the coherence structure of the data. It also revealed a fundamental trade-off
that exists between the nonuniformity of SNR profiles across the shifted
virtual element arrays and the degree to which signal coherence is broken by those shifts.
This trade-off was further studied in this work, and a strategy for improving
performance through a subswath technique that improves
covergence of covariance estimates was proposed.
and N. Goodman,
Superresolution of Coherent Sources in
Real-Beam Data, IEEE Trans on Aerosp. Electron. Sys.
; 46(3):1557-1566 (2010).
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