A study on the resolution limit of polarimetric radar and the performance of polarimetric bandwidth extrapolation technique

Statistical resolution limit (SRL) is a simple metric that provides the highest resolution achievable by any unbiased parametric spectral estimator. In this paper, the SRL of polarimetric radar is derived and compared with that of single polarization radar. The SRL is defined using the Cramér-Rao bound (CRB) of signal parameters for the cases where two point targets are closely located. It is shown analytically and numerically that the polarization information helps improving the SRL.

[1]  Kei Suwa,et al.  A Two-Dimensional Bandwidth Extrapolation Technique for Polarimetric Synthetic Aperture Radar Images , 2007, IEEE Transactions on Geoscience and Remote Sensing.

[2]  S.T. Smith.  Statistical Resolution Limits and the Complexified , 2005 .

[3]  F. Ulaby,et al.  Radar polarimetry for geoscience applications , 1990 .

[4]  L. Ferro-Famil,et al.  Advances in SAR Polarimetry applications exploiting polarimetric spaceborne sensors , 2008, 2008 IEEE Radar Conference.

[5]  S. D. Halversen,et al.  Effects of polarization and resolution on SAR ATR , 1997, IEEE Transactions on Aerospace and Electronic Systems.

[6]  Kei Suwa,et al.  Bandwidth Extrapolation Technique for Polarimetric Radar Data , 2004 .

[7]  P. Cochat,et al.  Et al , 2008, Archives de pediatrie : organe officiel de la Societe francaise de pediatrie.

[8]  S. T. Smith.  Statistical resolution limits and the complexified Crame/spl acute/r-Rao bound , 2005, IEEE Transactions on Signal Processing.