PROJECT TITLE :

Optimal Parameter Estimation Method of Internal Solitary Waves in SAR Images and the Cramér–Rao Bound

ABSTRACT:

Parameter estimation of internal solitary waves (ISWs) is an important application of oceanic artificial aperture radar (SAR) pictures. Many methods are widely applied for estimating the parameters of ISWs. Most of these ways assume that the ISW signals are corrupted by additive receiver noise. However, the ISW signals in SAR pictures suffer from both additive (thermal) and multiplicative (speckle) noises. Thus, the estimation accuracy of previously proposed methods may not reach the Cramér–Rao sure (CRB). This paper proposes an optimal parameter estimation methodology of ISWs and derives the CRB for parameter estimation of ISWs. The variances of the estimated ISW parameters are shown to succeed in the CRB. This optimum estimator is validated using ISW SAR signals taken from simulation data and European Remote Sensing a pair of (ERS-a pair of) pictures. The results show that the proposed technique is a lot of correct and effective than different ways. Similarly, it should be noted that this optimality could conjointly discuss with parameter estimation of other SAR extended targets with an analytical expression.


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