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| Format: | Artículo científico |
| Language: | en |
| Published: |
Universidad de Costa Rica
2016
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| Online Access: | https://www.redalyc.org/articulo.oa?id=44170537005 |
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Table of Contents:
- Implementation of an Algorithm for the Estimation of the Sea Clutter Distribution and Parameters Ismary Gato Martínez José-Raúl Machado Fernández Mónica Jiménez Álvarez Ingeniería Smi Kolmo gorov Sea clutter Maximum Likelihood Sea clutter is the main interfering signal in radar systems. In order to develop appropriate strategies for clutter suppression, an algorithm able to identify the distribution of radar rea- dings becomes necessary. By using several popular methods found in the related literature, the authors design an algorithm able to identify the clutter distribution and its corresponding para- meters. The proposed solution, which included the widely used maximum likelihood method and the Kolmogorov-Smirnov statistic test, was implemented in a software application with an intuitive graphical interface. As a result, a viable instance of the algorithm became available for educational and research purposes, particularly as a comparative base for estimating the effect of the size increase in the sample set when estimating the probability distribution. 2016 artículo científico 1409-2441 https://www.redalyc.org/articulo.oa?id=44170537005 en http://www.redalyc.org/revista.oa?id=441 Ingeniería. Revista de la Universidad de Costa Rica application/pdf Universidad de Costa Rica Ingeniería. Revista de la Universidad de Costa Rica (Costa Rica) Num.2 Vol.26