A Method of Spectral Analysis Based on the Multistage Wiener Filter

Author

Liu, Hongming ; He, Zishu ; Xia, Wei ; Cheng, Ting

Author_Institution

Sch. of Electron. Eng., Univ. of Electron. Sci. & Technol. of China, Chengdu

fYear

2009

fDate

28-29 April 2009

Firstpage

1

Lastpage

4

Abstract

Three different spectral patterns, including the MUSIC (Multiple Signal Classification), the LP (Linear Prediction) and the S-LP (Smooth Linear Prediction) methods using the unique recursion process of the multistage nested Wiener filter (MSNWF) for spectral analysis are described. These different spectral patterns can be provided simultaneously. Taking into account the computational advantages and different characteristics of the methods, a new scheme for spectral analysis is proposed, which is able to be adapted to either the continuous or the discrete spectrum cases.

Keywords

Wiener filters; recursive estimation; signal classification; spectral analysis; MUSIC; discrete spectrum cases; multiple signal classification; multistage Wiener filter; multistage nested Wiener filter; recursion process; smooth linear prediction methods; spectral analysis; spectral patterns; Covariance matrix; Direction of arrival estimation; Frequency estimation; Helium; Mean square error methods; Multiple signal classification; Recursive estimation; Spectral analysis; Vectors; Wiener filter;

fLanguage

English

Publisher

ieee

Conference_Titel

Testing and Diagnosis, 2009. ICTD 2009. IEEE Circuits and Systems International Conference on

Conference_Location

Chengdu

Print_ISBN

978-1-4244-2587-7

Type

conf

DOI

10.1109/CAS-ICTD.2009.4960754

Filename

4960754