Name
Abstract | ||
|---|---|---|
Linear frequency modulated (LFM) signal is widely applied in many fields for its excellent characteristic of long time interval and wide frequency band. The chirp rate is the key parameter in LFM signal. The traditional search-based chirp rate estimation algorithms have the contradiction between estimation performance and complexity. The phase-based algorithms have good estimation performance in t... |
Year | DOI | Venue |
|---|---|---|
2019 | 10.1109/LSP.2018.2882300 | IEEE Signal Processing Letters |
Keywords | Field | DocType |
Estimation,Chirp,Signal processing algorithms,Complexity theory,Frequency estimation,Frequency modulation,Signal to noise ratio | Chirp rate,Weighting,Pattern recognition,Polynomial,Frequency band,Signal-to-noise ratio,Algorithm,Mean squared error,Artificial intelligence,Chirp,Frequency modulation,Mathematics | Journal |
Volume | Issue | ISSN |
26 | 1 | 1070-9908 |
Citations | PageRank | References |
1 | 0.48 | 0 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Guo Bai | 1 | 1 | 1.16 |
| Yufan Cheng | 2 | 2 | 1.50 |
| Wanbin Tang | 3 | 138 | 19.42 |
| Shaoqian Li | 4 | 2276 | 195.05 |