State estimation for random error reduction in avionic measurement applications

Chin-E. Lin; W. G. Wen

State estimation for random error reduction in avionic measurement applications

Chin-E. Lin, W. G. Wen

Research output: Contribution to conference › Paper › peer-review

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.

Original language	English
Pages	388-393
Number of pages	6
Publication status	Published - 1989 Dec 1
Event	IEEE Instrumentation and Measurement Technology Conference - Washington, DC, USA Duration: 1989 Apr 25 → 1989 Apr 27

Other

Other	IEEE Instrumentation and Measurement Technology Conference
City	Washington, DC, USA
Period	89-04-25 → 89-04-27

All Science Journal Classification (ASJC) codes

Engineering(all)

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title = "State estimation for random error reduction in avionic measurement applications",

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.",

author = "Chin-E. Lin and Wen, {W. G.}",

year = "1989",

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AU - Wen, W. G.

PY - 1989/12/1

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N2 - 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.

AB - 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.

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M3 - Paper

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T2 - IEEE Instrumentation and Measurement Technology Conference

Y2 - 25 April 1989 through 27 April 1989

ER -

State estimation for random error reduction in avionic measurement applications

Abstract

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All Science Journal Classification (ASJC) codes

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