An innovational transfer alignment method based on parameter identification UKF for airborne distributed POS

Gong, Xiaolin; Fan, Wei; Fang, Jiancheng

doi:10.1016/j.measurement.2014.08.034

Cited by 34 publications

(26 citation statements)

References 25 publications

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“…Furthermore, the slave and master SINS are always positioned at distance from each other, and there will be relative motion between them while the vehicle turns or manoeuvres, this will introduce additional errors into the TA. The TA method based on inertial measurement matching have received extensive attention in recent years 18,[27][28][29][30][31][32][33][34][35][36][37][38][39][40] , which can be depicted in Fig. 1.…”

Section: Transfer Alignment Of Sinsmentioning

confidence: 99%

Rapid Transfer Alignment of SINS with Measurement Packet Dropping based on a Novel Suboptimal Estimator

Dai

Tang³

et al. 2019

Def. Sc. Jl.

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Transfer alignment (TA) is an important step for strapdown inertial navigation system (SINS) starting from a moving base, which utilises the information proposed from the higher accurate and well performed master inertial navigation system. But the information is often delayed or even lost in real application, which will seriously affect the accuracy of TA. This paper models the stochastic measurement packet dropping as an independent identically distributed (IID) Bernoulli random process, and introduces it into the measurement equation of rapid TA, and the influence of measurement packet dropping is analysed. Then, it presents a suboptimal estimator for the estimation of the misalignment in TA considering the random arrival of the measurement packet. Simulation has been done for the performance comparison about the suboptimal estimator, standard Kalman filter and minimum mean squared estimator. The results show that the suboptimal estimator has better performance, which can achieve the best TA accuracy. 7. dai, h.; dai, S.; Cong, y.; Zhao, g. & wu, g. Rapid transfer alignment of laser sins using quaternion based angular measurement.

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Section: Transfer Alignment Of Sinsmentioning

confidence: 99%

Rapid Transfer Alignment of SINS with Measurement Packet Dropping based on a Novel Suboptimal Estimator

Dai

Tang³

et al. 2019

Def. Sc. Jl.

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“…Ref. [19] proposed a parameter identification method for Markov process. In this method, the flexure angle was assumed as a second-Markov process in which the parameters are estimated and updated by the estimates of an unscented Kalman filter (UKF).…”

Section: Introductionmentioning

confidence: 99%

“…However, Ref. [19] only considers a single axis flexure angle in the modeling of the transfer alignment. Specifically, flexure angles also exist on other two axes in the course of the flight.…”

Section: Introductionmentioning

confidence: 99%

“…It is still necessary to analyze and compensate the influence of the small flexure angle on transfer alignment accuracy and especially for the airborne earth observation application that requires high precision motion parameters. Additionally, the UKF method used in [19] is based on the idea of filtering estimation, and this suggests that only the observation information of the moment and the prior moment is used in the estimated state of a certain moment. A post processing method is another type of an estimation method-fixed-interval smoother that uses all the observation information in the time interval to estimate the state of each moment [20][21][22].…”

Section: Introductionmentioning

confidence: 99%

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A transfer alignment method for airborne distributed POS with three-dimensional aircraft flexure angles

Gong

Chen

Fang

et al. 2018

Sci. China Inf. Sci.

Self Cite

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An airborne distributed position and orientation system (POS) appears to satisfy the requirement of multi-point motion parameters measurement. This relies on transfer alignment from a high precision master system to slave systems to obtain high accuracy motion parameters of all points. A key problem for a distributed POS involves determining a method to treat the aircraft flexure appropriately and achieve high precision transfer alignment. In this study, the effect of aircraft flexure on transfer alignment accuracy for airborne earth observation is first analyzed. Based on this, the error model of transfer alignment that considers three-dimensional flexure angles are established, and a transfer alignment based on parameter identification unscented Rauch-Tung-Striebel smoother (PIURTSS) is proposed. The simulations results show that the transfer alignment method based on PIURTSS effectively improves the estimation accuracy.

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“…In [5,6] an innovative transfer alignment method based on parameter identification UKF and an innovative transfer alignment method based on federated filter were respectively designed for an airborne distributed Position and Orientation System (POS). Shortelle and Graham [7] conducted a series of rapid transfer alignment experiments on F-16 fighters.…”

Section: Introductionmentioning

confidence: 99%

A Novel Adaptive H∞ Filtering Method with Delay Compensation for the Transfer Alignment of Strapdown Inertial Navigation Systems

Lyu

Cheng

2017

Sensors

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Transfer alignment is always a key technology in a strapdown inertial navigation system (SINS) because of its rapidity and accuracy. In this paper a transfer alignment model is established, which contains the SINS error model and the measurement model. The time delay in the process of transfer alignment is analyzed, and an H∞ filtering method with delay compensation is presented. Then the H∞ filtering theory and the robust mechanism of H∞ filter are deduced and analyzed in detail. In order to improve the transfer alignment accuracy in SINS with time delay, an adaptive H∞ filtering method with delay compensation is proposed. Since the robustness factor plays an important role in the filtering process and has effect on the filtering accuracy, the adaptive H∞ filter with delay compensation can adjust the value of robustness factor adaptively according to the dynamic external environment. The vehicle transfer alignment experiment indicates that by using the adaptive H∞ filtering method with delay compensation, the transfer alignment accuracy and the pure inertial navigation accuracy can be dramatically improved, which demonstrates the superiority of the proposed filtering method.

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An innovational transfer alignment method based on parameter identification UKF for airborne distributed POS

Cited by 34 publications

References 25 publications

Rapid Transfer Alignment of SINS with Measurement Packet Dropping based on a Novel Suboptimal Estimator

Rapid Transfer Alignment of SINS with Measurement Packet Dropping based on a Novel Suboptimal Estimator

A transfer alignment method for airborne distributed POS with three-dimensional aircraft flexure angles

A Novel Adaptive H∞ Filtering Method with Delay Compensation for the Transfer Alignment of Strapdown Inertial Navigation Systems

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