| Paper ID | SAM-9.4 |
| Paper Title |
RADAR CLUTTER CLASSIFICATION USING EXPECTATION-MAXIMIZATION METHOD |
| Authors |
Sudan Han, Defense Innovation Institute, China; Pia Addabbo, Universitá degli studi Giustino Fortunato, Italy; Danilo Orlando, Università degli Studi "Niccoò Cusano", Italy; Giuseppe Ricci, Università del Salento, Italy |
| Session | SAM-9: Detection and Classification |
| Location | Gather.Town |
| Session Time: | Thursday, 10 June, 16:30 - 17:15 |
| Presentation Time: | Thursday, 10 June, 16:30 - 17:15 |
| Presentation |
Poster
|
| Topic |
Sensor Array and Multichannel Signal Processing: [RAS-DTCL] Target detection, classification, localization |
| IEEE Xplore Open Preview |
Click here to view in IEEE Xplore |
| Virtual Presentation |
Click here to watch in the Virtual Conference |
| Abstract |
In this paper, the problem of classifying radar clutter returns into statistically homogeneous subsets is addressed. To this end, latent variables, which represent the classes to which the tested range cells belong, in conjunction with the expectation-maximization method are jointly exploited to devise the classification architecture. Moreover, two different models for the structure of the clutter covariance matrix are considered. At the analysis stage, numerical examples based on simulated data for the classification performance are presented showing the effectiveness of the proposed classification schemes. |
