DocumentCode :
2295346
Title :
A New Approach for 2-D Spectrum Estimation
Author :
Zheng, Bao ; Yong-liang, WANG
Author_Institution :
Inst. of Missile, Air Force Eng. Univ., Sanyuan
fYear :
2006
fDate :
16-19 Oct. 2006
Firstpage :
1
Lastpage :
3
Abstract :
In this paper, a new approach of 2-D MUSIC algorithm was proposed. Using the eigenvector and the eigenvalue of the covariance matrix simultaneously, this method dispenses with 2-D searching. The computation load of this 2-D method is alleviated effectively. The pairings of the estimated parameters are automatically determined and the estimation precision is high. Simulation results are presented to demonstrate the performance of the proposed method
Keywords :
covariance matrices; eigenvalues and eigenfunctions; parameter estimation; signal classification; 2-D MUSIC algorithm; 2-D spectrum estimation; covariance matrix; eigenvector-eigenvalue; multiple signal classification; parameter estimation; Additive noise; Covariance matrix; Eigenvalues and eigenfunctions; Equations; Missiles; Multiple signal classification; Radar; Sensor arrays; Signal processing algorithms; Spectral analysis; 2-D Spectrum Estimation; Eigenvalues; MUSIC;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Radar, 2006. CIE '06. International Conference on
Conference_Location :
Shanghai
Print_ISBN :
0-7803-9582-4
Electronic_ISBN :
0-7803-9583-2
Type :
conf
DOI :
10.1109/ICR.2006.343152
Filename :
4148555
Link To Document :
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