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2021 ◽  
Vol 2021 ◽  
pp. 1-13
Author(s):  
Jianxin Ren ◽  
Junlin Zi ◽  
Hao Yang ◽  
Jin Li

In order to analyze the performance of strapdown inertial navigation system/global position system (SINS/GPS) ultratight integration system with low-precision microelectromechanical system (MEMS) under challenging environments, a new MEMS-SINS/GPS ultratight integration scheme is designed. The time-space difference carrier phase velocity (TSDCP-v) is used to assist the carrier tracking loop, the measurement model including nonlinear term is established, and the corresponding filtering algorithm is designed. A simulation and verification platform is established to analyze and verify the performance of the MEMS-SINS/GPS ultratight integration system designed in this paper. Compared with the SINS/GPS tight integration navigation system, the MEMS-SINS/GPS ultratight integration system has higher dynamic performance, anti-interference capability, and navigation performance. At the same time, the MEMS-SINS/GPS ultratight integration system improves the carrier tracking performance of SINS-assisted GPS ultratight integration system when using low-precision MEMS and in high dynamics, strong interference environments.


2021 ◽  
pp. 0192513X2199387
Author(s):  
Blendine P. Hawkins ◽  
Catherine Solheim ◽  
Virginia S. Zuiker

Over a million people migrate and resettle in the United States every year. Subsequent to the diversification of the U.S. population is a rising rate in transnational marriage. Juxtaposed with the increasing prevalence of intermarriage are historical restrictions and continued antipathy of such marriages and the families that they build. Using a phenomenological design, this study explored how transnational couples experience their parent and partner roles. Six couples were interviewed, each partner separately and then together with in-depth questions about how their family and social and familial context informed their roles and how they navigated their relationship as parents and partners. Three themes emerged from the couples’ experience: integration of past and present selves, intersections between partners, and navigation as parents.


2020 ◽  
Vol 2020 ◽  
pp. 1-11
Author(s):  
Zhaoyang Zuo ◽  
Bo Yang ◽  
Chunguo Yue ◽  
Dongrong Meng

In this paper, INS/CNS (CINS) is integrated into a module, and then CINS and BDS are further combined to form a deep integrated BDS/INS/CNS navigation system, which can significantly improve the navigation, positioning, and attitude measurement accuracy under high dynamic and strong interference conditions. It has broad application prospects for specific users such as high-altitude long-endurance Unmanned Aerial Vehicle (UAV) and high-maneuvering glider. In order to verify and analyze the algorithm and performance of the deep integrated navigation system, the design and implementation of BDS/INS/CNS deep integrated navigation simulation platform are presented and the overall architecture, information flow, and the composition of each subsystem of the simulation platform are introduced. The simulation results show that, under high dynamic conditions, the position accuracy of the BDS/INS/CNS deep integrated navigation system is better than 1 m, the speed accuracy is better than 0.1 m/s, and the overall performance is better than the BDS/INS deep integrated navigation system. It also verifies the availability of the simulation platform, which has guiding significance for the next design of BDS/INS/CNS deep integrated navigation prototype.


2020 ◽  
Vol 2020 ◽  
pp. 1-14
Author(s):  
XingLi Gan ◽  
Wei Li ◽  
Ling Yang ◽  
Heng Zhang

This paper theoretically derives the equivalence conditions for the loosely and tightly coupled GNSS/INS integration algorithms. Firstly, the equivalence is proved when using single epoch GNSS measurements, which means the GNSS processor provides standalone solution. Then, the equivalence proof is further extended for the filtering solutions, which are usually applied for differential GNSS and precise point positioning. Based on these, different state and measurement models for GNSS/INS integration navigation are summarized, and natural differences among these models are discussed. This indicates that once the same measurement and predict information are used, the integration would be equivalent no matter what kind of coupling schemes are used. A flight dataset with GNSS and tactical IMU data is used to evaluate the equivalence and discrepancies among four different measurement models, and the results confirm the theoretical derivations.


Sensors ◽  
2020 ◽  
Vol 20 (11) ◽  
pp. 3192 ◽  
Author(s):  
Zhe Yan ◽  
Xiyuan Chen ◽  
Xinhua Tang

The superiority of a global navigation satellite system (GNSS)/inertial navigation system (INS) ultra-tight integration navigation system has been widely verified. For those systems with centralized structure based on coherent-accumulation measurements (I/Q), the conversion from I/Q signals to navigation information is implemented by an observation equation. As a result, the model is highly complex and nonlinear, exerting essential influence on system performance. Based on the analysis of previous studies, a novel model and its linearization method are proposed, aiming at the integrity, stability and implicit nonlinear factors. Unlike the one-order precision in the common Jacobian matrix, two-order components are partly reserved in this model, which makes it possible for higher positioning accuracy and better convergence. For the positioning errors caused by ignoring code-loop deviation, a method to approximate code-phase is proposed without introducing new measurements. Consequently, the effect of code error can be significantly reduced, especially when the tracking loops are unstable. In the end, using real-sampled satellite signals, semi-physical experiments are carried out and the effectiveness and superiority of new methods are proved.


2020 ◽  
Vol 20 (10) ◽  
pp. 5540-5553 ◽  
Author(s):  
Jian Wang ◽  
Tao Zhang ◽  
Bonan Jin ◽  
Yongyun Zhu ◽  
Jinwu Tong

2020 ◽  
Vol 206 ◽  
pp. 416-428
Author(s):  
Guangqi Wang ◽  
Yu Han ◽  
Jian Chen ◽  
Hao Meng ◽  
Shubo Wang ◽  
...  

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