JOURNAL ARTICLE

INS/GPS Integration System Using Adaptive Filter with Estimating Measurement Noise Variance

Myeong‐Jong Yu

Year: 2007 Journal:   Journal of Control Automation and Systems Engineering Vol: 13 (7)Pages: 688-693

Abstract

The INS/GPS integration system is designed by employing an adaptive filter that can estimate the measurement noise variance using the residual of the filter. To verify the efficiency of the proposed loosely-coupled INS/GPS integration system, simulation is performed by assuming that GPS information has large position errors. Simulation results show that the proposed integration system with the adaptive filter is more effective in estimating the position and attitude errors than those with the Extended Kalman Filter.

Keywords:
Global Positioning System GPS/INS Kalman filter Noise (video) Computer science Filter (signal processing) Variance (accounting) Adaptive filter Position (finance) Residual Control theory (sociology) Assisted GPS Algorithm Artificial intelligence Computer vision Telecommunications

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Citation History

Topics

Inertial Sensor and Navigation
Physical Sciences →  Engineering →  Aerospace Engineering
Target Tracking and Data Fusion in Sensor Networks
Physical Sciences →  Computer Science →  Artificial Intelligence
GNSS positioning and interference
Physical Sciences →  Engineering →  Aerospace Engineering
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