Name
Abstract | ||
|---|---|---|
We propose a GARCH model to represent the clutter in radar applications. We fit this model to real sea clutter data and we show that it represents adequately the statistics of the data. Then, we develop a detection test based on this model. Using synthetic and real radar data, we evaluate its performance and we show that the proposed detector offers higher probability of detection for a specified value of probability of false alarm than tests based on Gaussian and Weibull models, especially for low signal to clutter ratios. |
Year | DOI | Venue |
|---|---|---|
2013 | 10.1016/j.dsp.2013.02.017 | Digital Signal Processing |
Keywords | Field | DocType |
radar application,higher probability,weibull model,false alarm,proposed detector,radar detection algorithm,real sea clutter data,garch model,detection test,garch clutter model,low signal,real radar data,radar | Radar,False alarm,Pattern recognition,Clutter,Weibull distribution,Algorithm,Gaussian,Artificial intelligence,Constant false alarm rate,Statistical power,Detector,Mathematics | Journal |
Volume | Issue | ISSN |
23 | 4 | 1051-2004 |
Citations | PageRank | References |
4 | 0.50 | 7 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| J. P. Pascual | 1 | 4 | 1.17 |
| N. von Ellenrieder | 2 | 7 | 1.64 |
| M. Hurtado | 3 | 89 | 8.59 |
| C. Muravchik | 4 | 543 | 68.59 |