Clasificación del clutter marino utilizando redes neuronales artificiales

Ingeniería Electrónica, Automática y Comunicaciones

Pérez Pino, Roselí¹  Bravo Quintana, Berta¹  Jiménez Alvarez, Mónica¹  Bueno, Adrián¹  Machado Fernández, José R.¹  Sainz de la Torre Ruiz, Ernesto¹  González Padilla, Argel¹ 

关键词: sea clutter;    auto adaptive system;    neural networks.;   

DOI  :  

来源: Instituto Superior Politecnico "Jose Antonio Echeverria"

【 摘 要 】

The radar detection under the action of sea clutter is an ongoing problem. The effectiveness of this detection can be improved or even optimized if the statistical behavior of the parameters of the signals scattered by the sea surface (sea clutter) is known. In this study, most of the statistical models of ocean clutter under different conditions is given and is accomplished in a single document synthetically group a large volume of information, hard to find, and in many cases, to interpret. The major contribution of this research work is the presentation of the foundations of anauto-adaptive system for detecting radar targets, based on the recognition of different distributions that model the sea clutter collected in a given time interval. Performing a finer classification to specify the range of values taken by the parameters of the distribution, for the time interval being analyzed. This system was successfully simulated using neural networks. The results revealed that can effectively perform recognition distributions of the marine clutter amplitude measurements and parameters distribution.

【 授权许可】

Unknown