Title :
Parameter estimation for stepped-frequency radar under temporal-spatial correlated clutter
Author :
Huang, D. ; Zeng, D.Z. ; Long, T. ; Yu, J.Y.
Author_Institution :
Radar Res. Lab., Beijing Inst. of Technol., Beijing, China
Abstract :
Proposed is a maximum likelihood (ML) estimation and minimum target error function (TEF) method to estimate the parameters of the moving target for high range resolution stepped-frequency radar in temporal-spatial correlated clutter background. The compound-Gaussian model is used for the temporal-spatial correlated clutter. Both of the velocity and range of the moving target can be accurately estimated for stepped-frequency radar. Numerical experiments illustrate the effectiveness of the proposed method.
Keywords :
Gaussian processes; correlation methods; maximum likelihood estimation; radar clutter; compound-Gaussian model; maximum likelihood estimation; minimum target error function; parameter estimation; stepped-frequency radar; temporal-spatial correlated clutter; Clutter; Equations; Maximum likelihood estimation; Radar clutter; Speckle;
Conference_Titel :
Signal Processing (ICSP), 2010 IEEE 10th International Conference on
Conference_Location :
Beijing
Print_ISBN :
978-1-4244-5897-4
DOI :
10.1109/ICOSP.2010.5656108
