State estimation for random error reduction in avionic measurement applications

Author

Lin, C.E. ; Wen, W.G.

Author_Institution

Inst. of Aeronaut. & Astronautics, Chen Kung Univ., Tainan, Taiwan

fYear

1989

fDate

25-27 Apr 1989

Firstpage

388

Lastpage

393

Abstract

A state estimation algorithm for flight measurement systems is studied for RPV (remotely piloted vehicle) telemetry and control applications. This system transmits real-time measurement data from the airborne system to the ground system. The effectiveness of four adaptive filter techniques used together with bad data elimination in reducing error is investigated theoretically and by simulation. The performance for white error and colored error is tested by simulating of a barometric/inertial system. The adaptation of appropriate filter algorithms for aircraft applications is highlighted

Keywords

adaptive filters; adaptive systems; aerospace simulation; aircraft control; aircraft instrumentation; computerised instrumentation; height measurement; measurement errors; pressure measurement; random processes; state estimation; telemetering; adaptation; adaptive filter; aerospace simulation; avionic measurement; bad data elimination; barometric/inertial system; colored error; computerised instrumentation; control; flight measurement; random error reduction; real-time measurement data; remotely piloted vehicle; state estimation algorithm; telemetry; white error; Aerospace electronics; Data acquisition; Error correction; Extraterrestrial measurements; Filtering; Filters; Real time systems; State estimation; Time measurement; Vectors;

fLanguage

English

Publisher

ieee

Conference_Titel

Instrumentation and Measurement Technology Conference, 1989. IMTC-89. Conference Record., 6th IEEE

Conference_Location

Washington, DC

Type

conf

DOI

10.1109/IMTC.1989.36891

Filename

36891