Evaluating the Observability in the Combination Process of the Height Measurement Signals

Evaluating the Observability in the Combination Process of the Height Measurement Signals

Nguyen Quang Vinh
Copyright: © 2020 |Pages: 13
DOI: 10.4018/IJKBO.2020100103
OnDemand:
(Individual Articles)
Available
$37.50
No Current Special Offers
TOTAL SAVINGS: $37.50

Abstract

In the modern navigation system, the height channel is always the most unstable channel. Combination processing the height measurement signals by using the Kalman filter algorithm can improve the precision of the high measurement. However, in the process of performing the signal processing algorithm by using the Kalman filter, the transition time to obtain the set status is long. Moreover, within different flight conditions, the inertia height meter will be combined with the supporting height meter to get the structure of the combination height meter in order to process the height measurement signals more precisely. In this article, the authors proposed using the criterion for evaluating the observable level to improve the quality of height measurement signal processing. The research results were simulated on three combined high measurements, in which the inertia height meter (IHM) (the basic meter) was combined with one or two supporting height meters (the radio height meter [RHM] and the barometer [AHM]) to show the correctness of the proposed algorithm.
Article Preview
Top

Improvement Of The Quality Of The Combination Height Measurement Signal Process

The Height Measurement Combination

The height approximating precision in combination height meters depends on the variance of the error of evaluating status variables and the variance of the measurement noise. Within concrete flight conditions it is necessary to give a general evaluating criterion for these variances. However, since the properties of combination height meters are different, when we observe status variables of each combination height measurement, we see that the intensities of measurement noise are different. While evaluating the precision of approximating height between combination height meters we need compare evaluations of the observability level of corresponding status variables.

The scheme of the structure of the height measurement for choosing the structure is described in Figure 1.

Figure 1.

The scheme of the structure of the height measurement for choosing the structure

IJKBO.2020100103.f01

Where: H is the practical height information which we need to measure; xk is the error vector of IHM; IJKBO.2020100103.m01 is the approximating error vector of IHM.

The structure is chosen in accordance with the maximum of the criterion for the observability level of components of the corresponding status vectors of the combination height meters, namely

  • For each height measurement performed by the linked height meter: the information about each component of the status vector defines the observability level.

  • In each structure of the linked height meter we perform calculations and define the observability level of status variables.

  • We compare observability levels of corresponding status variables.

Complete Article List

Search this Journal:
Reset
Volume 14: 1 Issue (2024): Forthcoming, Available for Pre-Order
Volume 13: 1 Issue (2023)
Volume 12: 4 Issues (2022): 3 Released, 1 Forthcoming
Volume 11: 4 Issues (2021)
Volume 10: 4 Issues (2020)
Volume 9: 4 Issues (2019)
Volume 8: 4 Issues (2018)
Volume 7: 4 Issues (2017)
Volume 6: 4 Issues (2016)
Volume 5: 4 Issues (2015)
Volume 4: 4 Issues (2014)
Volume 3: 4 Issues (2013)
Volume 2: 4 Issues (2012)
Volume 1: 4 Issues (2011)
View Complete Journal Contents Listing