|Abstract:||Due to the development of Global Navigation Satellite Systems (GNSS), multiple satellites are available, this enables the receiver to choose consternation accordingly in order to enhance PVT performance. However, as GNSS signals are susceptible to signal jamming, spoofing, blockage vulnerabilities, performances of the receiver would be greatly affected. The Receiver Autonomous Integrity (RAIM) is a method necessary for receiver quality check. Classic RAIM relies on redundant measurements of available satellite to detect and exclude outliers, but performance would worsen if more than two outliers are present, as errors can easily spread. Inertial sensors based on microelectromechanical system (MEMS) technology have become commercially available at low cost, their immunity to signal disturbances provide an alternative approach to enhance RAIM performance, though MEMS-based IMUS have complex sensor errors that are stochastic in nature. To improve the RAIM performance aided by low-cost INS, we have done the following: 1. Improve the inertial sensor error model using autoregressive processes method. 2. Apply adaptive filtering algorithm for data fusion and outlier detection and exclusion. Simulations results prove the efficacy of the proposed algorithm.|
Proceedings of the 2017 International Technical Meeting of The Institute of Navigation
January 30 - 2, 2017
Hyatt Regency Monterey
|Pages:||274 - 283|
|Cite this article:||
Tan, Siyuan, Zhu, Bocheng, "RAIM Performance Enhancement for GNSS Receiver Aided By Low-cost SINS," Proceedings of the 2017 International Technical Meeting of The Institute of Navigation, Monterey, California, January 2017, pp. 274-283.
ION Members/Non-Members: 1 Download Credit