Estimating Angular Velocity From Output of Rate-Integrating Gyro

B. Friedland

doi:10.1109/TAES.1975.308119

Estimating Angular Velocity From Output of Rate-Integrating Gyro

B. Friedland

Research output: Contribution to journal › Article › peer-review

6 Scopus citations

Abstract

The Kalman filtering technique can be used to improve estimates of angular velocity (in a strapped-down navigation system) using angular increment (rate integral) data. A simple, second-order, constant coefficient digital filter can yield significant improvement for a very high or a very low noise-to-signal ratio = 4 σθ/σαT2, where σθ is the rms noise in measuring angular increments, σαis the rms angular acceleration, and T is the sampling time. For, ≈ 1, the filter affords negligible performance improvement.

Original language	English (US)
Pages (from-to)	551-555
Number of pages	5
Journal	IEEE Transactions on Aerospace and Electronic Systems
Volume	AES-11
Issue number	4
DOIs	https://doi.org/10.1109/TAES.1975.308119
State	Published - Jul 1975
Externally published	Yes

All Science Journal Classification (ASJC) codes

Aerospace Engineering
Electrical and Electronic Engineering

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10.1109/TAES.1975.308119

Cite this

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title = "Estimating Angular Velocity From Output of Rate-Integrating Gyro",

abstract = "The Kalman filtering technique can be used to improve estimates of angular velocity (in a strapped-down navigation system) using angular increment (rate integral) data. A simple, second-order, constant coefficient digital filter can yield significant improvement for a very high or a very low noise-to-signal ratio = 4 σθ/σαT2, where σθ is the rms noise in measuring angular increments, σαis the rms angular acceleration, and T is the sampling time. For, ≈ 1, the filter affords negligible performance improvement.",

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year = "1975",

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doi = "10.1109/TAES.1975.308119",

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AU - Friedland, B.

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N2 - The Kalman filtering technique can be used to improve estimates of angular velocity (in a strapped-down navigation system) using angular increment (rate integral) data. A simple, second-order, constant coefficient digital filter can yield significant improvement for a very high or a very low noise-to-signal ratio = 4 σθ/σαT2, where σθ is the rms noise in measuring angular increments, σαis the rms angular acceleration, and T is the sampling time. For, ≈ 1, the filter affords negligible performance improvement.

AB - The Kalman filtering technique can be used to improve estimates of angular velocity (in a strapped-down navigation system) using angular increment (rate integral) data. A simple, second-order, constant coefficient digital filter can yield significant improvement for a very high or a very low noise-to-signal ratio = 4 σθ/σαT2, where σθ is the rms noise in measuring angular increments, σαis the rms angular acceleration, and T is the sampling time. For, ≈ 1, the filter affords negligible performance improvement.

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JO - IEEE Transactions on Aerospace and Electronic Systems

JF - IEEE Transactions on Aerospace and Electronic Systems

IS - 4

ER -

Estimating Angular Velocity From Output of Rate-Integrating Gyro

Abstract

All Science Journal Classification (ASJC) codes

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