Please use this identifier to cite or link to this item: https://doi.org/10.1109/36.789644
Title: Weighted least-squares estimation of phase errors for SAR/ISAR autofocus
Authors: Ye, W. 
Yeo, T.S. 
Issue Date: 1999
Citation: Ye, W., Yeo, T.S. (1999). Weighted least-squares estimation of phase errors for SAR/ISAR autofocus. IEEE Transactions on Geoscience and Remote Sensing 37 (5 II) : 2487-2494. ScholarBank@NUS Repository. https://doi.org/10.1109/36.789644
Abstract: A new method of phase error estimation that utilizes the weighted least-squares (WLS) algorithm is presented for synthetic aperture radar (SAR)/inverse SAR (ISAR) autofocus applications. The method does not require that the signal in each range bin be of a certain distribution model, and thus it is robust for many kinds of scene content. The most attractive attribute of the new method is that it can be used to estimate all kinds of phase errors, no matter whether they are of low order, high order, or random. Compared with other methods, the WLS estimation is optimal in the sense that it has the minimum variance of the estimation error. Excellent results have been obtained in autofocusing and imaging experiments on real SAR and ISAR data.
Source Title: IEEE Transactions on Geoscience and Remote Sensing
URI: http://scholarbank.nus.edu.sg/handle/10635/62939
ISSN: 01962892
DOI: 10.1109/36.789644
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