Title :
Parameter estimation of moving target for stepped-frequency radar under temporal-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 method to estimate the parameter of the moving target for high range resolution stepped-frequency radar in strong clutter background. In this study the temporal correlated clutter is used. By transmitting frequency-hopping waveform and using the spectrum density of the clutter, the method may accurately estimate the moving target parameter in strong clutter. Numerical experiments illustrate the effectiveness of the proposed method.
Keywords :
image motion analysis; maximum likelihood estimation; radar clutter; radar imaging; radar resolution; spread spectrum radar; ML estimation; high range resolution stepped-frequency radar; maximum likelihood estimation; moving target parameter estimation; spectrum density; temporal correlated clutter; transmitting frequency-hopping waveform; Clutter; Equations; Frequency estimation; Maximum likelihood estimation; Radar; Thyristors;
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.2010.5656811
