Citation
Marhaban, Mohammad Hamiruce
(2008)
Estimation of K-distributed clutter by using characteristic function method.
Jurnal Teknologi, 48 (D).
pp. 29-40.
ISSN 0127–9696; ESSN: 2180–3722
Abstract
Detection performance of the maritime radars is often limited by the unwanted sea echo or clutter. K-distribution is one of the long-tailed densities which is known in the signal processing community for fitting the radar sea clutter accurately. In this paper, a novel approach for estimating the parameter of K-distribution is presented. The method is derived from the empirical characteristic function of the quadrature components. Simulation results show a great improvement in term of estimated bias and variance, compared with any existing non-maximum likelihood method.
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Additional Metadata
| Item Type: | Article |
|---|---|
| Divisions: | Faculty of Engineering |
| DOI Number: | https://doi.org/10.11113/jt.v48.223 |
| Publisher: | Universiti Teknologi Malaysia |
| Keywords: | Radar system; Sea clutter; K–distribution; Parameter estimation; Characteristic function |
| Depositing User: | Nabilah Mustapa |
| Date Deposited: | 08 Apr 2019 08:53 |
| Last Modified: | 08 Apr 2019 08:53 |
| Altmetrics: | http://www.altmetric.com/details.php?domain=psasir.upm.edu.my&doi=10.11113/jt.v48.223 |
| URI: | http://psasir.upm.edu.my/id/eprint/14571 |
| Statistic Details: | View Download Statistic |
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