Using Cramer-Rao theory for SAR waveform design

Using Cramer-Rao theory for SAR waveform design

This paper applies Cramer-Rao theory to synthetic aperture radar (SAR) in order to establish optimal performance bounds on target parameter estimation. The Cramer-Rao bound (CRB) establishes a lower bound on the error variance of unbiased or asymptotically efficient parameter estimates (L.L. Scharf,...

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Hauptverfasser: Linnehan, R., Brady, D., Schindler, J., Perlovsky, L., Rangaswamy, M.
Format: Tagungsbericht
Sprache:eng
Schlagworte:
Design optimization
Equations
Laboratories
Noise measurement
Parameter estimation
Position measurement
Radar scattering
Reflectivity
Scattering parameters
Synthetic aperture radar
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Beschreibung
Zusammenfassung:This paper applies Cramer-Rao theory to synthetic aperture radar (SAR) in order to establish optimal performance bounds on target parameter estimation. The Cramer-Rao bound (CRB) establishes a lower bound on the error variance of unbiased or asymptotically efficient parameter estimates (L.L. Scharf, 1991). Bounds on the estimation of various target parameters are developed, and the extension to multistatic SAR (MSAR) is considered.
ISSN:1097-5659
2375-5318
DOI:10.1109/RADAR.2005.1435822