Title :
Inherent bias assessment in height computation employing mixed-type radar data
Author :
Manolakis, D.E. ; Lefas, C.C. ; Dounis, A.I.
Author_Institution :
Sithon Res., Athens
fDate :
10/1/1994 12:00:00 AM
Abstract :
The objective here is the analysis of a systematic error inherently existing in aircraft geometric height monitoring under radar surveillance. This error is caused by the nonlinear processing of noisy measurements. The geometric height system under investigation uses mixed-type radar data, since the height is computed by referring range raw measurements to horizontal trajectory smoothed data
Keywords :
height measurement; position measurement; radar applications; radionavigation; remote sensing by radar; signal processing; aircraft geometric height monitoring; analysis; geometric height system; height computation; horizontal trajectory smoothed data; inherent bias assessment; mixed-type radar data; noisy measurements; nonlinear processing; radar surveillance; systematic error; Airborne radar; Aircraft; Airplanes; Area measurement; Geometry; Monitoring; Noise measurement; Position measurement; Radar measurements; Surveillance;
Journal_Title :
Aerospace and Electronic Systems, IEEE Transactions on
