DefinePK

Abstract

The velocity estimation is an important problem in many applications
such as communication and navigation. But in some application such as sea, this
task is very difficult because of the strong clutter. Many algorithms have been
proposed for this problem. The Maximum Likelihood ML is one of the good solutions.
This paper describes an application of Neural Network NN for obtaining the
global optimal solution of ML velocity estimation. It overcomes the local optima
problem existing in some ML velocity estimation algorithms and improves the
estimation accuracy. The computation complexity is modest.