Design of Digital Estimators with Fading Memory for Prediction Applications

Author

Zuyin, Weng

Author_Institution

Beijing Inst. of Radio Meas.

fYear

2006

fDate

16-19 Oct. 2006

Firstpage

1

Lastpage

4

Abstract

The digital estimators with fading memory have been designed for prediction applications. The suggested design method is based on optimal filtering theory for non-stationary process with random noise. This method can be used for design of digital filters, digital differentiators and digital predictors for applications to trajectory estimation of flying airplanes and sailing ships. Therefore, it can be used in air traffic control or marine traffic management data processing systems

Keywords

air traffic control; aircraft control; digital filters; fading; filtering theory; prediction theory; random noise; ships; air traffic control; data processing system; digital differentiator; digital estimator; digital filter; digital predictor; fading memory; flying airplane; marine traffic management; nonstationary process; optimal filtering theory; prediction application; random noise; sailing ship; Air traffic control; Band pass filters; Design methodology; Digital filters; Fading; Finite impulse response filter; IIR filters; Low pass filters; Pulse measurements; Wiener filter; Digital estimators; Optimal filtering;

fLanguage

English

Publisher

ieee

Conference_Titel

Radar, 2006. CIE '06. International Conference on

Conference_Location

Shanghai

Print_ISBN

0-7803-9582-4

Electronic_ISBN

0-7803-9583-2

Type

conf

DOI

10.1109/ICR.2006.343381

Filename

4148583