DocumentCode
2483239
Title
Research on parameter estimation of time-varying AR model
Author
Wenhua, Wang ; Wenxing, Wang
Author_Institution
Dept. of Electron. Eng., Beijing Inst. of Technol., China
Volume
3
fYear
2003
fDate
7-10 Sept. 2003
Firstpage
2378
Abstract
In this paper the chirp signals are analyzed by time-varying autoregressive (AR) model according to their characteristics, and the recursive least squares algorithm is considered to estimate time-varying coefficients of AR model. The method has the advantage of simple, saving computation time and storage space. Theoretical analysis and simulation results all show the validity of this method.
Keywords
autoregressive processes; chirp modulation; least squares approximations; recursive estimation; signal processing; chirp signal; computation time; parameter estimation; recursive least squares algorithm; signal analysis; storage space; time-varying autoregressive model; time-varying coefficient estimation; Chirp; Frequency; Interference; Parameter estimation; Recursive estimation; Signal analysis; Signal processing; Signal processing algorithms; Signal resolution; Space technology;
fLanguage
English
Publisher
ieee
Conference_Titel
Personal, Indoor and Mobile Radio Communications, 2003. PIMRC 2003. 14th IEEE Proceedings on
Print_ISBN
0-7803-7822-9
Type
conf
DOI
10.1109/PIMRC.2003.1259144
Filename
1259144
Link To Document