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

研究成果: Paper › 同行評審

摘要

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.

原文	English
頁面	388-393
頁數	6
出版狀態	Published - 1989 12月 1
事件	IEEE Instrumentation and Measurement Technology Conference - Washington, DC, USA 持續時間: 1989 4月 25 → 1989 4月 27

Other

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

All Science Journal Classification (ASJC) codes

一般工程

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引用此

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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.",

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AU - Lin, Chin-E.

AU - Wen, W. G.

PY - 1989/12/1

Y1 - 1989/12/1

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.

UR - https://www.scopus.com/pages/publications/0024885124

UR - https://www.scopus.com/pages/publications/0024885124#tab=citedBy

M3 - Paper

AN - SCOPUS:0024885124

SP - 388

EP - 393

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

摘要

Other

All Science Journal Classification (ASJC) codes

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