Title :
Monte-Carlo Based Estimation Methods for Rapidly-Varying Sea Clutter
Author :
Li, Ying ; Moran, William ; Sira, Sandeep P. ; Papandreou-Suppappola, Antonia ; Morrell, Darryl
Author_Institution :
Dept. of Electr. Eng., Arizona State Univ., Tempe, AZ
Abstract :
We consider two Monte-Carlo based methods for characterizing the scattering function of rapidly-varying sea clutter. The first method uses multiple particle filtering to estimate the clutter space-time covariance matrix by exploiting the structure of the matrix. This method is then compared to a baseline approach that estimates the clutter covariance matrix based on the Weibull distribution approximation. Both methods are evaluated by formulating a detection problem that simulates a small moving target in heavy sea clutter.
Keywords :
Monte Carlo methods; Weibull distribution; covariance matrices; filtering theory; geophysical signal processing; oceanographic techniques; radar clutter; Monte Carlo based estimation methods; Weibull distribution approximation; clutter space-time covariance marix; multiple particle filtering; rapidly-varying sea clutter; Clutter; Covariance matrix; Filtering; Layout; Particle scattering; Radar detection; Radar scattering; Reflectivity; Statistical distributions; Weibull distribution; Monte Carlo simulations; Multiple particle filtering; Weibull distribution; covariance matrix estimation;
Conference_Titel :
Digital Signal Processing Workshop and 5th IEEE Signal Processing Education Workshop, 2009. DSP/SPE 2009. IEEE 13th
Conference_Location :
Marco Island, FL
Print_ISBN :
978-1-4244-3677-4
Electronic_ISBN :
978-1-4244-3677-4
DOI :
10.1109/DSP.2009.4785931
