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학술대회자료

Study on the compensation algorithm for inertial navigation system

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This paper describes how a relatively compensate the error of position by using low cost Inertial Measurement Unit (IMU) has been evaluated and compared with the well established method based on a Kalman Filter(KF). The compensation algorithm by using IMU have been applied to the problem of integrating information from an Inertial Navigation System (INS). The KF is to estimate and compensate the errors of an INS by using the integrated INS velocity and position. We verify the proposed algorithm by simulation results.

1. Introduction

2. The Kalman Filter and Periodic Drift Compensation Methods

3. Simulation

4. Conclusions

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