A novel relative motion measurement method based on distributed POS relative parameters matching transfer alignment

Qu, Chunyu; Li, Jianli

doi:10.1016/j.measurement.2022.111890

Cited by 5 publications

(3 citation statements)

References 30 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…However, this method has similar problems as Si's method. On the basis of Si's method, Qu et al further proposed a transfer alignment method based on relative parameter matching [16,26]. In this method, the relative motion parameters measured by fiber Bragg grating are taken as measurement information, thus avoiding the dependence on the geometric relationship between the flexible angle and the flexible position vector.…”

Section: Introductionmentioning

confidence: 99%

A high-accuracy system model and accuracy evaluation method for transfer alignment

Yang,

Wang,

Wang

et al. 2024

Meas. Sci. Technol.

View full text Add to dashboard Cite

With the increasing demand for high-accuracy navigation, distributed payloads put forward higher requirements for the initial alignment accuracy of their equipped slave inertial navigation systems (INSs). However, the existing transfer alignment models have poor compensation effect on flexible deformation, resulting in low alignment accuracy. Moreover, these models cannot accurately evaluate the accuracy of transfer alignment due to ignoring the errors of the master INS. To address these two problems, a new high-accuracy transfer alignment system model is established by comprehensively considering errors of the master and slave INSs. Further, the propagation characteristics of the master and slave inertial sensor errors in transfer alignment are analyzed, and the relationship expression between the master and slave inertial sensor accuracy and the transfer alignment accuracy is derived. Thus, the accuracy of transfer alignment can be pre-evaluated according to the master and slave inertial sensor accuracy. The experiment results show that the alignment accuracy of the proposed method is improved by more than 71.56% compared with the traditional methods, and the relative errors between the proposed accuracy evaluation method and the Monte Carlo simulations are less than 9.14%. Thus, the correctness, effectiveness and superiority of the proposed method are verified.

show abstract

Section: Introductionmentioning

confidence: 99%

A high-accuracy system model and accuracy evaluation method for transfer alignment

Yang,

Wang,

Wang

et al. 2024

Meas. Sci. Technol.

View full text Add to dashboard Cite

show abstract

“…Especially, the measuring instruments are installed on different positions of the airplane, so the several inertial measurement units (IMUs) should be equipped with measuring instruments to accurately obtain attitude and position information with transfer alignment at multiple nodes [5][6][7][8]. Therefore, the array position and orientation measurement system (array POS) technology with array sub-IMUs and the main POS unit are critical to obtain the attitude and position information of measurement instruments [9][10][11]. Usually, the main POS unit is installed on the belly, and the array sub-IMUs are installed as close as possible to the imaging loads on the wing to complete motion compensation.…”

Section: Introductionmentioning

confidence: 99%

Multi-Node Motion Estimation Method Based on B-Spline of Array Position and Orientation System

Bao

et al. 2023

Remote Sensing

Self Cite

View full text Add to dashboard Cite

The array position and orientation system (array POS), composed of one main POS and multiple sub-inertial measurement units (sub-IMUs), is key equipment in the aerial remote-sensing system, especially the multi-load system, which can provide motion compensation for the multi-load remote-sensing system to improve imaging quality. Nevertheless, the measurement information of each sub-IMU can only realize the motion information of the corresponding remote-sensing load. Ideally, each remote-sensing load should be equipped with a sub-IMU for motion compensation, which is impossible in actual engineering considering the volume, weight and cost. To solve this problem, a multi-node motion estimation method based on the B-spline of the array POS is proposed to realize the motion compensation of remote-sensing loads without sub-IMUs. Firstly, the transfer alignment method based on fiber-grating multi-dimensional deformation measurement was adopted. Motion parameters of the remote-sensing payload equipped with sub-IMUs at different times can be obtained by observing and correcting the errors between the main POS and sub-IMUs. In this way, the space-time characteristics of each interpolation point are fully utilized. Additionally, the motion information of the main POS and all sub-IMUs is fitted through the estimation method based on the B-spline, during which wing deformation is considered to obtain the motion parameters of the remote-sensing payload equipped without a sub-IMU. In this way, the spatial correlation between the information of each node is fully utilized. Due to the full utilization of the spatiotemporal correlation of the motion information of each sub node, high-precision and highly reliable motion information of the remote-sensing loads not equipped with sub-IMUs is obtained. Furthermore, the proposed method can be modified locally without affecting other nodes, and has the advantages of a simple algorithm and easy engineering implementation. Finally, a semi-physical simulation based on ground-loading test was conducted. The results show that the baseline in the X-axis, Y-axis and Z-axis direction is improved by 0.484 mm, 0.137 mm and 1.225 mm, respectively, and that the measurement accuracy of roll angle is improved by 0.011°.

show abstract

“…The array POS is composed of a high-precision main inertial measurement unit and several MPOS, which are used for the motion compensation of subarray antenna [1][2][3][4]. The array POS sometimes works in poor environments, such as with strong interference in military reconnaissance mapping, which greatly increases the probability of abnormal values in inertial devices and measurement data [5][6][7][8].…”

Section: Introductionmentioning

confidence: 99%

An Improved Innovation Robust Outliers Detection Method for Airborne Array Position and Orientation Measurement System

Bao

Mengdi

et al. 2022

Remote Sensing

View full text Add to dashboard Cite

The airborne array position and orientation measurement system (array POS) is a key device for high-resolution multi-dimensional real-time imaging motion compensation of military reconnaissance mapping. Abnormal values will appear in array POS inertial devices and measurement data in an environment of strong interference, which often leads to a decrease or even divergence in the combination accuracy. The existing detection methods based on innovation characteristics are only sensitive to measurement outliers, which are the abnormal data caused by the strong interference environment. In this paper, an improved innovation robust outliers detection method is proposed, which is valid for both measurement outliers and inertial device outliers. First, the improved outliers detection method based on the innovation of array POS is described. The gain matrix is adaptively adjusted by using the statistical characteristics of innovation. At the same time, the information distribution coefficient is adaptively adjusted by using the filtering performance of the sub filter, which realizes the detection and correction of measurement outliers. Then, the outlier detection method of inertial devices based on extrapolation prediction is added. The predicted value of the inertial device is extrapolated by the fourth-order difference method, and the outliers are recognized and eliminated by the adaptive threshold, which contributes to improving the robustness and accuracy of array POS. STD is selected in this paper to statistic the accuracy of array POS. Compared with the traditional federated Kalman filtering (KFK) methods, the accuracies of position, speed, heading angle and horizontal attitude angle of the left node and right node are all improved when there are outliers in the measurement data. Compared with the fault-tolerant federated combination method based on innovation characteristics, the accuracies of position, speed, heading angle and horizontal attitude angle of the left node and right node are all improved when there are abnormal values in the inertial device data.

show abstract

A novel relative motion measurement method based on distributed POS relative parameters matching transfer alignment

Cited by 5 publications

References 30 publications

A high-accuracy system model and accuracy evaluation method for transfer alignment

A high-accuracy system model and accuracy evaluation method for transfer alignment

Multi-Node Motion Estimation Method Based on B-Spline of Array Position and Orientation System

An Improved Innovation Robust Outliers Detection Method for Airborne Array Position and Orientation Measurement System

Contact Info

Product

Resources

About