DocumentCode :
3216963
Title :
The improvement of ESPRIT algorithm based on the cross-correlation matrix trace modulus curve
Author :
Tong, Li ; Hao, Guo ; Biao, Qu Jing
Author_Institution :
Dept. of Inf. Eng., Acad. of Armored Force Eng., Beijing, China
fYear :
2011
fDate :
27-29 May 2011
Firstpage :
82
Lastpage :
84
Abstract :
Pray for the problem of high complexity on matrix eigenvalues and not easy hardware realization, this paper introduces a method based on cross-correlation matrix trace of modulus curve of the ESPRIT algorithm that doesn´t need to calculate matrix eigenvalues and can be easy hardware implementation. This paper improves the computation, and simulation results show that the improved algorithm effectively reduced the amount of calculation. At the same time in the high Signal to Noise Ratio (SNR), frequency estimation´s performance is better than modulation Fast Fourier Transform (FFT) algorithm.
Keywords :
eigenvalues and eigenfunctions; frequency estimation; matrix algebra; signal processing; ESPRIT algorithm; cross-correlation matrix trace modulus curve; frequency estimation; hardware realization; matrix eigenvalues; modulation fast Fourier transform algorithm; signal to noise ratio; Correlation; Covariance matrix; Eigenvalues and eigenfunctions; Frequency estimation; Harmonic analysis; Mean square error methods; Signal processing algorithms; ESPRIT; Generalized eigenvalue; modulation FFT;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Communication Software and Networks (ICCSN), 2011 IEEE 3rd International Conference on
Conference_Location :
Xi´an
Print_ISBN :
978-1-61284-485-5
Type :
conf
DOI :
10.1109/ICCSN.2011.6013549
Filename :
6013549
Link To Document :
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