1997Proceedings of the 10th International Technical Meeting of the Satellite Division of The Institute of Navigation (ION GPS 1997)Requires access

Vehicle Navigation Using GPS Aided By Speed and Heading Information: Simulation Results

Seong Pil Yoon, John B. Lundberg

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Abstract

Because of Selective Availability (SA), the navigation accuracy of a vehicle using a standalone GPS system has been degraded. One of the methods to cope with this problem is to integrate other navigation sensors. Dead-reckoning sensors provide inexpensive solutions over expensive inertial sensors such as accelerometers. However, to get the most out of the integrated system, proper weights must be found for the two position estimates, one from the GPS receiver and the other which is the previous position estimate mapped to the current epoch using the information from the dead-reckoning sensors. This paper shows the effect of the different values of the weights on the final estimate of the position in a simulated noisy environment using a simple filtering algorithm introduced in this paper. Results show that dead-reckoning information even with high noise increases the navigation accuracy of the integrated GPS system.

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What this paper is about

Because of Selective Availability (SA), the navigation accuracy of a vehicle using a standalone GPS system has been degraded. One of the methods to cope with this problem is to integrate other navigation sensors. Dead-reckoning sensors provide inexpensive solutions over expensive inertial sensors such as accelerometers. However, to get the most out of the integrated system, proper weights must be found for the two position estimates, one from the GPS receiver and the other which is the previous position estimate mapped to the current epoch using the information from the dead-reckoning sensors. This paper shows the effect of the different values of the weights on the final estimate of the position in a simulated noisy environment using a simple filtering algorithm introduced in this paper. Results show that dead-reckoning information even with high noise increases the navigation accuracy of the integrated GPS system.

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Available abstract

Because of Selective Availability (SA), the navigation accuracy of a vehicle using a standalone GPS system has been degraded. One of the methods to cope with this problem is to integrate other navigation sensors. Dead-reckoning sensors provide inexpensive solutions over expensive inertial sensors such as accelerometers. However, to get the most out of the integrated system, proper weights must be found for the two position estimates, one from the GPS receiver and the other which is the previous position estimate mapped to the current epoch using the information from the dead-reckoning sensors. This paper shows the effect of the different values of the weights on the final estimate of the position in a simulated noisy environment using a simple filtering algorithm introduced in this paper. Results show that dead-reckoning information even with high noise increases the navigation accuracy of the integrated GPS system.

Key concepts: Dead reckoning, Heading (navigation), Global Positioning System, Inertial navigation system, GPS/INS, Accelerometer, Computer science, Position (finance)

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