Application of hidden Markov model and neural network approach for radar target detection

Author

Lahouari, Rais ; Abdelkader, Benyettou ; Larbi, Mesbahi

Author_Institution

Departement d´´electronique, Univ. of Sci. & Technol. of Oran

fYear

0

fDate

0-0 0

Abstract

The recent evolution of radar and sonar is obvious, as that of most of the technical domains, by the extremely fast development of the information processing capacities. To answer for increasing necessities of the users, this evolution led to endow the radar and the sonar of several modes of functioning. In this article, two classical methods of data processing are suggested in detection of radar target domain. The first technique is based on hidden Markov model "HMM", so for the second is based on the neuron network approach "ANN", which inspired originally from intellectual functioning of the human being

Keywords

hidden Markov models; neural nets; radar computing; radar detection; sonar tracking; target tracking; hidden Markov model; information processing capacities; neural network approach; radar target detection; radar target domain; Artificial neural networks; Data processing; Hidden Markov models; Information processing; Neural networks; Neurons; Object detection; Radar applications; Radar detection; Sonar; ANN; HIMM; RADAR; SONAR;

fLanguage

English

Publisher

ieee

Conference_Titel

Computational Intelligence Methods and Applications, 2005 ICSC Congress on

Conference_Location

Istanbul

Print_ISBN

1-4244-0020-1

Type

conf

DOI

10.1109/CIMA.2005.1662323

Filename

1662323