In-flight alignment of distributed all-accelerometer network

Yazan M. Al-Rawashdeh; Muhammad F. Mysorewala; Moustafa Elshafei

doi:10.1109/SAS.2017.7894060

In-flight alignment of distributed all-accelerometer network

Yazan M. Al-Rawashdeh^*, Muhammad F. Mysorewala, Moustafa Elshafei

^*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

2 Scopus citations

Abstract

In this paper, the measurements alignment of distributed inertial measurement units based on all-accelerometer is presented. These inertial measurement units, or nodes, relate to each other via an ideal sensor network. A prime master node is used as the alignment reference based on a certain messaging protocol. First, the master nodes are aligned with respect to the prime master node, then the slave nodes are aligned with respect to their respective master nodes as well as the prime master node. Among the various possibilities of interpreting the messages sent between nodes, the main approach utilizing a nonlinear recursive least squares technique is devised to facilitate the alignment process by which the Euler angles building the misalignment matrix are estimated at nodes levels. Also, this recursive method will be useful in estimating the flexure motion. Simulation results show the feasibility of this approach.

Original language	English
Title of host publication	SAS 2017 - 2017 IEEE Sensors Applications Symposium, Proceedings
Publisher	Institute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)	9781509032020
DOIs	https://doi.org/10.1109/SAS.2017.7894060
State	Published - 6 Apr 2017

Publication series

Name	SAS 2017 - 2017 IEEE Sensors Applications Symposium, Proceedings

Bibliographical note

Publisher Copyright:
© 2017 IEEE.

Keywords

airborne inertial-measurements
alignment
all-accelerometer
attitude matching
flexure motion
gyro-free
in-flight
network

ASJC Scopus subject areas

Instrumentation
Electrical and Electronic Engineering
Health Informatics

Access to Document

10.1109/SAS.2017.7894060

Cite this

Al-Rawashdeh, Y. M., Mysorewala, M. F., & Elshafei, M. (2017). In-flight alignment of distributed all-accelerometer network. In SAS 2017 - 2017 IEEE Sensors Applications Symposium, Proceedings Article 7894060 (SAS 2017 - 2017 IEEE Sensors Applications Symposium, Proceedings). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/SAS.2017.7894060

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title = "In-flight alignment of distributed all-accelerometer network",

abstract = "In this paper, the measurements alignment of distributed inertial measurement units based on all-accelerometer is presented. These inertial measurement units, or nodes, relate to each other via an ideal sensor network. A prime master node is used as the alignment reference based on a certain messaging protocol. First, the master nodes are aligned with respect to the prime master node, then the slave nodes are aligned with respect to their respective master nodes as well as the prime master node. Among the various possibilities of interpreting the messages sent between nodes, the main approach utilizing a nonlinear recursive least squares technique is devised to facilitate the alignment process by which the Euler angles building the misalignment matrix are estimated at nodes levels. Also, this recursive method will be useful in estimating the flexure motion. Simulation results show the feasibility of this approach.",

keywords = "airborne inertial-measurements, alignment, all-accelerometer, attitude matching, flexure motion, gyro-free, in-flight, network",

author = "Al-Rawashdeh, \{Yazan M.\} and Mysorewala, \{Muhammad F.\} and Moustafa Elshafei",

note = "Publisher Copyright: {\textcopyright} 2017 IEEE.",

year = "2017",

month = apr,

day = "6",

doi = "10.1109/SAS.2017.7894060",

language = "English",

series = "SAS 2017 - 2017 IEEE Sensors Applications Symposium, Proceedings",

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In-flight alignment of distributed all-accelerometer network. / Al-Rawashdeh, Yazan M.; Mysorewala, Muhammad F.; Elshafei, Moustafa.
SAS 2017 - 2017 IEEE Sensors Applications Symposium, Proceedings. Institute of Electrical and Electronics Engineers Inc., 2017. 7894060 (SAS 2017 - 2017 IEEE Sensors Applications Symposium, Proceedings).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - In-flight alignment of distributed all-accelerometer network

AU - Al-Rawashdeh, Yazan M.

AU - Mysorewala, Muhammad F.

AU - Elshafei, Moustafa

PY - 2017/4/6

Y1 - 2017/4/6

N2 - In this paper, the measurements alignment of distributed inertial measurement units based on all-accelerometer is presented. These inertial measurement units, or nodes, relate to each other via an ideal sensor network. A prime master node is used as the alignment reference based on a certain messaging protocol. First, the master nodes are aligned with respect to the prime master node, then the slave nodes are aligned with respect to their respective master nodes as well as the prime master node. Among the various possibilities of interpreting the messages sent between nodes, the main approach utilizing a nonlinear recursive least squares technique is devised to facilitate the alignment process by which the Euler angles building the misalignment matrix are estimated at nodes levels. Also, this recursive method will be useful in estimating the flexure motion. Simulation results show the feasibility of this approach.

AB - In this paper, the measurements alignment of distributed inertial measurement units based on all-accelerometer is presented. These inertial measurement units, or nodes, relate to each other via an ideal sensor network. A prime master node is used as the alignment reference based on a certain messaging protocol. First, the master nodes are aligned with respect to the prime master node, then the slave nodes are aligned with respect to their respective master nodes as well as the prime master node. Among the various possibilities of interpreting the messages sent between nodes, the main approach utilizing a nonlinear recursive least squares technique is devised to facilitate the alignment process by which the Euler angles building the misalignment matrix are estimated at nodes levels. Also, this recursive method will be useful in estimating the flexure motion. Simulation results show the feasibility of this approach.

KW - airborne inertial-measurements

KW - alignment

KW - all-accelerometer

KW - attitude matching

KW - flexure motion

KW - gyro-free

KW - in-flight

KW - network

UR - https://www.scopus.com/pages/publications/85018264016

U2 - 10.1109/SAS.2017.7894060

DO - 10.1109/SAS.2017.7894060

M3 - Conference contribution

AN - SCOPUS:85018264016

T3 - SAS 2017 - 2017 IEEE Sensors Applications Symposium, Proceedings

BT - SAS 2017 - 2017 IEEE Sensors Applications Symposium, Proceedings

PB - Institute of Electrical and Electronics Engineers Inc.

ER -

In-flight alignment of distributed all-accelerometer network

Abstract

Publication series

Bibliographical note

Keywords

ASJC Scopus subject areas

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Cite this