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Multi-dimensional aperture design and analysis for SAR using the Cramér-rao theorem

Journal articles
Linnehan, R; Brady, D; Schindler, J; Perlovsky, L; Rangaswamy, M
Published in: IEEE Camsap 2005 First International Workshop on Computational Advances in Multi Sensor Adaptive Processing
December 1, 2005

We are applying the Cramér-Rao theorem to synthetic aperture radar (SAR) processing in order to establish flight paths that permit height estimation and minimize errors in reflectivity measurements. The Cramér-Rao bound (CRB) establishes a lower bound on the error variance of unbiased estimates. Error bounds are developed for multi-dimensional synthetic apertures that improve the overall performance and efficiency of monostatic, single-pass SAR missions. A computationally efficient means for the design and analysis of SAR waveforms is proposed using simulated scattering models that are limited in size. A comparison made with the error bounds for standard SAR show that estimates of scatterer range and cross-range positions are sufficiently accurate for multi-dimensional aperture SAR, even with the additional estimator for height. © 2005 IEEE.

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Published In

IEEE Camsap 2005 First International Workshop on Computational Advances in Multi Sensor Adaptive Processing

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Publication Date

December 1, 2005

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2005

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4 / 7
 

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Linnehan, R., Brady, D., Schindler, J., Perlovsky, L., & Rangaswamy, M. (2005). Multi-dimensional aperture design and analysis for SAR using the Cramér-rao theorem. IEEE Camsap 2005 First International Workshop on Computational Advances in Multi Sensor Adaptive Processing, 2005, 4–7. https://doi.org/10.1109/CAMAP.2005.1574169
Linnehan, R., D. Brady, J. Schindler, L. Perlovsky, and M. Rangaswamy. “Multi-dimensional aperture design and analysis for SAR using the Cramér-rao theorem.” IEEE Camsap 2005 First International Workshop on Computational Advances in Multi Sensor Adaptive Processing 2005 (December 1, 2005): 4–7. https://doi.org/10.1109/CAMAP.2005.1574169.
Linnehan R, Brady D, Schindler J, Perlovsky L, Rangaswamy M. Multi-dimensional aperture design and analysis for SAR using the Cramér-rao theorem. IEEE Camsap 2005 First International Workshop on Computational Advances in Multi Sensor Adaptive Processing. 2005 Dec 1;2005:4–7.
Linnehan, R., et al. “Multi-dimensional aperture design and analysis for SAR using the Cramér-rao theorem.” IEEE Camsap 2005 First International Workshop on Computational Advances in Multi Sensor Adaptive Processing, vol. 2005, Dec. 2005, pp. 4–7. Scopus, doi:10.1109/CAMAP.2005.1574169.
Linnehan R, Brady D, Schindler J, Perlovsky L, Rangaswamy M. Multi-dimensional aperture design and analysis for SAR using the Cramér-rao theorem. IEEE Camsap 2005 First International Workshop on Computational Advances in Multi Sensor Adaptive Processing. 2005 Dec 1;2005:4–7.

Published In

IEEE Camsap 2005 First International Workshop on Computational Advances in Multi Sensor Adaptive Processing

DOI

Publication Date

December 1, 2005

Volume

2005

Start / End Page

4 / 7