摘要
The paper focuses on multiple parameter estimation of chirp signals in noisy environment. On the basis of analyzing the existing methods, a new sequential estimation method using RAT and FRFT is presented. Moreover, for the constant amplitude estimation, an expression suitable for computation is given. Simulation results verify the effectiveness of the method. The method estimates the parameters in a sequential manner. In order to analyze the noise and error propagation effect to the estimation accuracy, Some Monte Carlo experiments are made under various SNR. The results show that the method has still better estimation performance with a SNR as low as-9dB.
| 源语言 | 英语 |
|---|---|
| 主期刊名 | Proceedings of 2003 International Conference on Neural Networks and Signal Processing, ICNNSP'03 |
| 页 | 628-631 |
| 页数 | 4 |
| DOI | |
| 出版状态 | 已出版 - 2003 |
| 活动 | 2003 International Conference on Neural Networks and Signal Processing, ICNNSP'03 - Nanjing, 中国 期限: 14 12月 2003 → 17 12月 2003 |
出版系列
| 姓名 | Proceedings of 2003 International Conference on Neural Networks and Signal Processing, ICNNSP'03 |
|---|---|
| 卷 | 1 |
会议
| 会议 | 2003 International Conference on Neural Networks and Signal Processing, ICNNSP'03 |
|---|---|
| 国家/地区 | 中国 |
| 市 | Nanjing |
| 时期 | 14/12/03 → 17/12/03 |
指纹
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Zhao, X., Tao, R., & Zhou, S. (2003). A novel sequential estimation algorithm for chirp signal parameters. 在 Proceedings of 2003 International Conference on Neural Networks and Signal Processing, ICNNSP'03 (页码 628-631). 文章 1279353 (Proceedings of 2003 International Conference on Neural Networks and Signal Processing, ICNNSP'03; 卷 1). https://doi.org/10.1109/ICNNSP.2003.1279353