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.
Original language | English |
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Title of host publication | PIMRC2003 - 14th IEEE 2003 International Symposium on Personal, Indoor and Mobile Radio Communications, Proceedings |
Pages | 2378-2382 |
Number of pages | 5 |
DOIs | |
Publication status | Published - 2003 |
Event | 14th IEEE 2003 International Symposium on Personal, Indoor and Mobile Radio Communications, PIMRC2003 - Beijing, China Duration: 7 Sept 2003 → 10 Sept 2003 |
Publication series
Name | IEEE International Symposium on Personal, Indoor and Mobile Radio Communications, PIMRC |
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Volume | 3 |
Conference
Conference | 14th IEEE 2003 International Symposium on Personal, Indoor and Mobile Radio Communications, PIMRC2003 |
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Country/Territory | China |
City | Beijing |
Period | 7/09/03 → 10/09/03 |
Keywords
- Chirp signal
- Signal analysis
- Time-varying AR model
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Wang, W., & Wang, W. (2003). Research on parameter estimation of time-varying AR model. In PIMRC2003 - 14th IEEE 2003 International Symposium on Personal, Indoor and Mobile Radio Communications, Proceedings (pp. 2378-2382). Article 1259144 (IEEE International Symposium on Personal, Indoor and Mobile Radio Communications, PIMRC; Vol. 3). https://doi.org/10.1109/PIMRC.2003.1259144