In-Flight Alignment Algorithm based on Non-Symmetric Unscented Transformation

Kim, Kwangjin; Park, Chan Gook

doi:10.1109/sice.2006.314848

Cited by 9 publications

(3 citation statements)

References 6 publications

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“…The alignment of a strapdown inertial navagation system (SDINS) is the process whereby the orientation of body frame is determined with respect to the navigation frame [1]. In a broad sense, alignment of SDINS can be classified as initial alignment and in-flight alignment (IFA).…”

Section: Introductionmentioning

confidence: 99%

An In-Flight Emergency Alignment Scheme for Aircraft MINS with Assistant of Airborne SAR

Yao

Pan

Gao

2013

AMM

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The alignment of a strapdown inertial navagation system (SDINS) is the process whereby the orientation of body frame is determined with respect to the navigation frame [. In a broad sense, alignment of SDINS can be classified as initial alignment and in-flight alignment (IFA). The IFA is performed with IMU and external sensors during the vehicle flight [2,, in which the primary assistant sources are satellite system, radar, or other airborne equipment, offering reference signals like position, velocity, or attitude to assist the alignment process [4,. However, these sources have disadvantages in redundancy, independence, and stability, which will be incipient faults in emergency take-off or warfare. So it is necessary for us to analyse the subsidiary airborne equipments and design new in-flight alignment scheme.

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Section: Introductionmentioning

confidence: 99%

An In-Flight Emergency Alignment Scheme for Aircraft MINS with Assistant of Airborne SAR

Yao

Pan

Gao

2013

AMM

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“…An extended Kalman filter (EKF) based leveling method is used for an underwater vehicle [8]. Nonsymmetric unscented transformation is used in IFA [9]. The predictive Kalman filter is used in the INS nonlinear alignment under large azimuth misalignment angle [10].…”

Section: Introductionmentioning

confidence: 99%

Quaternion-Optimization-Based In-Flight Alignment Approach for Airborne POS

Kang

Fang

Wang

2012

IEEE Trans. Instrum. Meas.

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Position and Orientation System (POS) is a key technology that provides motion compensation information for imaging sensor in airborne remote sensing. In-flight alignment (IFA) is an important alignment method that can improve reaction speed and accuracy of measurement for airborne POS. The traditional IFA methods based on the Kalman filter and the adaptive extended Kalman filter (AEKF) are severely affected by flight maneuver; severe maneuver may result in alignment accuracy degeneration or failure. On the basis of optimization-based alignment method for static base alignment, a novel IFA method based on quaternion optimization is devised in this paper, aiming to boost up the robustness and the accuracy of IFA, which extends the range of the application of optimization-based alignment method from static base alignment to IFA. The proposed algorithm has the advantage that it can avoid the affection from severe maneuver. The real-time implementation is given. Flight experiment demonstrates that, compared with the IFA method based on AEKF, the proposed algorithm is better in converging speed and robusticity with the same alignment accuracy. Index Terms-Flight maneuver, in-flight alignment (IFA), Position and Orientation System (POS), quaternion-constrained least square, robust, Strapdown Inertial Navigation System (SINS)/Global Positioning System (GPS) integrated navigation system.

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“…However the UT has both a local and a global sampling problem. So, modified UKFs are proposed to solve this issue (Hong et al, 2004;Kim and Park, 2006;Kim and Park, 2010). The more advanced techniques generally improve estimation accuracy, but they often perform at the expense of further complications in implementation and an increased computational burden (NØrgaard et al, 2000).…”

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confidence: 99%

In-Flight Alignment Algorithm Based on ADD2 for Airborne POS

Fang

Han

2012

J. Navigation

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The Position and Orientation System (POS) is a special Strapdown Inertial Navigation System (SINS)/Global Positioning System (GPS) integrated system, widely employed in airborne remote sensing. In-Flight Alignment (IFA) is an effective way to improve the accuracy and speed of initial alignment for an airborne POS. IFA is normally accomplished with references from the position and velocity of GPS for SINS, so that unstable GPS measurements will result in poor alignment accuracy. To improve alignment accuracy under unstable GPS conditions, an adaptive filtering algorithm of the Second-order Divided Difference filter (DD2) based on adaptive innovation estimation is proposed, which introduces calculated innovation covariance directly into computation of the filter gain matrix. Then, the adaptive DD2 algorithm is used for the IFA of the POS with a large initial heading error. To validate the proposed algorithm, simulations are undertaken, followed by IFA experiments for the prototype of the airborne POS (TX-F30) under a turning manoeuvre in a car-mounted experiment, and under an "8" manoeuvre in-flight. The simulations and experimental results show that the proposed algorithm can reach better alignment accuracy under unknown statistical characteristic of GPS measurement noises.2. In-Flight Alignment (IFA). 3. Large heading error. 4. Innovation-based Adaptive Estimation (IAE).

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In-Flight Alignment Algorithm based on Non-Symmetric Unscented Transformation

Cited by 9 publications

References 6 publications

An In-Flight Emergency Alignment Scheme for Aircraft MINS with Assistant of Airborne SAR

An In-Flight Emergency Alignment Scheme for Aircraft MINS with Assistant of Airborne SAR

Quaternion-Optimization-Based In-Flight Alignment Approach for Airborne POS

In-Flight Alignment Algorithm Based on ADD2 for Airborne POS

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