DocumentCode :
1609708
Title :
Estimating two-dimensional frequency pairs by extended Esprit-type method
Author :
Wang, Fei ; Wang, Shuxun ; Dou, Huijing
Author_Institution :
Inst. of Commun. Eng., Jilin Univ., Changchun, China
Volume :
2
fYear :
2003
Firstpage :
1464
Abstract :
An extended two-dimensional (2-D) Esprit-type algorithm is presented to extract frequencies from observed data, which are contaminated by the additive noise of 2-D moving average (MA) model. Simulations show that the algorithms can restrain the additive noise of 2-D MA model. The performance of the proposed algorithms is also illustrated by Monte-Carlo simulations.
Keywords :
Monte Carlo methods; frequency estimation; moving average processes; noise; signal processing; Monte Carlo simulations; additive noise; extended two dimensional Esprit-type method; moving average model; observed data; two-dimensional frequency pairs estimation; Additive noise; Colored noise; Covariance matrix; Data mining; Equations; Frequency estimation; Gaussian noise; Matrices; Phase estimation; Phase noise;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Communication Technology Proceedings, 2003. ICCT 2003. International Conference on
Print_ISBN :
7-5635-0686-1
Type :
conf
DOI :
10.1109/ICCT.2003.1209804
Filename :
1209804
Link To Document :
بازگشت