2021 IEEE International Conference on Acoustics, Speech and Signal Processing

6-11 June 2021 • Toronto, Ontario, Canada

Extracting Knowledge from Information

2021 IEEE International Conference on Acoustics, Speech and Signal Processing

6-11 June 2021 • Toronto, Ontario, Canada

Extracting Knowledge from Information
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Paper Detail

Paper IDSAM-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
SessionSAM-9: Detection and Classification
LocationGather.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
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.