article · 2014

High reliability integer ambiguity resolution of 6DOF RTK GPS/INS

Yiming Chen, Sheng Zhao, Dongfang Zheng, Jay A. Farrell

Cited by 4Abstract and details only

Abstract

This article presents a Contemplative Realtime (CRT) framework to resolve a vector of carrier phase integer ambiguities existing in Real-Time Kinematic GPS aided inertial navigation systems (RTK GPS/INS). Within this CRT framework, a Maximum-a-Posteriori (MAP) estimation method is derived to represent the RTK GPS/INS problem, and solved by Nonlinear Mixed Integer Least Square (NMILS) approach. This approach allows the utilization of multiple epochs of GPS data with INS defined motion constraints over a time interval. The NMILS approach over time intervals allows hypothesis testing on each interval to contemplate alternative fault detection hypotheses. The objectives are to enhance reliability and accuracy. Implementation results are included that demonstrate the performance of the proposed method achieving centimeter position accuracy.

Cite this paper

APA 7

Chen, Y., Zhao, S., Zheng, D., & Farrell, J. A. (2014). High reliability integer ambiguity resolution of 6DOF RTK GPS/INS. https://doi.org/10.1109/cdc.2014.7040426

MLA 9

Chen, Yiming, et al. “High reliability integer ambiguity resolution of 6DOF RTK GPS/INS.” 2014, pp. 6609–14, https://doi.org/10.1109/cdc.2014.7040426.

Chicago

Chen, Yiming, Sheng Zhao, Dongfang Zheng, and Jay A. Farrell. 2014. “High reliability integer ambiguity resolution of 6DOF RTK GPS/INS.” https://doi.org/10.1109/cdc.2014.7040426.

Harvard

Chen, Y. et al. (2014) ‘High reliability integer ambiguity resolution of 6DOF RTK GPS/INS’. Available at: https://doi.org/10.1109/cdc.2014.7040426.

BibTeX

@article{chen2014high,
  title = {{High reliability integer ambiguity resolution of 6DOF RTK GPS/INS}},
  author = {Chen, Yiming and Zhao, Sheng and Zheng, Dongfang and Farrell, Jay A.},
  pages = {6609--6614},
  year = {2014},
  doi = {10.1109/cdc.2014.7040426}
}

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