NEW SPECTRAL ESTIMATION APPROACHES IN LPEF COEFFICIENT MATRIX SPACE

Huang Dengshan; Bao Zheng

Volume 10 Issue 4

Jul. 1988

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Huang Dengshan, Bao Zheng . NEW SPECTRAL ESTIMATION APPROACHES IN LPEF COEFFICIENT MATRIX SPACE[J]. Journal of Electronics & Information Technology, 1988, 10(4): 289-296.

Citation:

Huang Dengshan, Bao Zheng . NEW SPECTRAL ESTIMATION APPROACHES IN LPEF COEFFICIENT MATRIX SPACE[J]. Journal of Electronics & Information Technology, 1988, 10(4): 289-296.

Huang Dengshan, Bao Zheng . NEW SPECTRAL ESTIMATION APPROACHES IN LPEF COEFFICIENT MATRIX SPACE[J]. Journal of Electronics & Information Technology, 1988, 10(4): 289-296.

Citation:

Huang Dengshan, Bao Zheng . NEW SPECTRAL ESTIMATION APPROACHES IN LPEF COEFFICIENT MATRIX SPACE[J]. Journal of Electronics & Information Technology, 1988, 10(4): 289-296.

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NEW SPECTRAL ESTIMATION APPROACHES IN LPEF COEFFICIENT MATRIX SPACE

Huang Dengshan^①;保铮,
Bao Zheng

Received Date: 1986-09-15
Rev Recd Date: 1987-07-13
Publish Date: 1988-07-19

Abstract

Abstract

For the case of sinusoids plus white noise, it will be proved that the construction of the LPEF (Linear Prediction Error Filter) coefficient matrix space is quite similar to that of the correlation matrix space. Therefore, the orthogonal vector techniques can be applied to the LPEF coefficient matrix space for spectral estimation. With the SVD approximation approach used for the correlation matrix, the present approach has not only the property of high resolution, but also the property of high statistic stability. finally, a one dimensional LPEF coefficient matrix is formed and the spectral estimation is simulated by computer. The results are compared with those obtained by other approaches.

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References(1)

References

Li He Zou(邹理和) On Resolution of 2-D Spectral Estimation as Applied to Sinusoids in White Noise,Ph. D. Dissertation, Princeton University, 1984.[2]S.M. Kay, S. L. Marple, Jr. PIEE, 69(1981), 1380-1419.[3]G. Bienvenu, Eigensystem Properties of Sampled Space Coherent Signal and Interference, Proc. ICASSP,1984.[4]T.K.Citron, T. Kailath, An Improved Eigenvector Beamformer, Proc. ICASSP, 1984.Angzhao Di, L.Tiao, Matrix Decomposition and Multiple Source Location, Proc. ICASSP, 1984.[5]D. W. Tufts, R. Kumaresan, Proc. IEEE, 70(1982), 975-989.[6]O. I. Frost, Power Spectrum Estimation, In 1976 NATO Advanced Study Institute on Signal Processing with Emphasis on Underwater Acoustic Portovence, Italy, 1976.[7]H.C. Lin, Trans, IEEE on AP, AP-30(1982).[8]D. R. Farrier, PIEE, 131(1984).[9]C. L. Lawson, R.J. Hanson, Solving Least Squares Problems, Englewood Cliffs, NJ, Prentice Hall, 1974.

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