Title :
Design of Digital Estimators with Fading Memory for Prediction Applications
Author_Institution :
Beijing Inst. of Radio Meas.
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;
Conference_Titel :
Radar, 2006. CIE '06. International Conference on
Conference_Location :
Shanghai
Print_ISBN :
0-7803-9582-4
Electronic_ISBN :
0-7803-9583-2
DOI :
10.1109/ICR.2006.343381
