Radar clutter classification using Kohonen neural network
Andrzej Jakubiak , Jarosław Arabas , K. Grabczak , D Radomski , J.F. Swiderski
AbstractThis paper is concerned with the discrimination of radar clutter. We first present a classification procedure based on the Kohonen neural network which allows to distinguish between several classes of clutter statistics. Some experimental results are presented to illustrate the performance of the proposed classifier
|Book||Radar 97 (Conf. Publ. No. 449), 1997|
|Keywords in English||amplitude distribution, classification decision probability, clutter statistics, correlated clutter samples, Correlation coefficient, experimental results, Kohonen neural network, Monte Carlo simulation, performance, radar clutter, radar clutter classification, radar signal processing|
|Publication indicators||= 5; = 19.0|
|Citation count*||19 (2020-08-24)|
* presented citation count is obtained through Internet information analysis and it is close to the number calculated by the Publish or Perish system.