A new method based on WMRA and ANN for GPS/SINS integration for aerocraft navigation

Xuefen Zhu; Xiyuan Chen; Zigang Li

doi:10.1117/12.716354

13 October 2006 A new method based on WMRA and ANN for GPS/SINS integration for aerocraft navigation

Xuefen Zhu, Xiyuan Chen, Zigang Li

Proceedings Volume 6280, Third International Symposium on Precision Mechanical Measurements; 628037 (2006) https://doi.org/10.1117/12.716354
Event: Third International Symposium on Precision Mechanical Measurements, 2006, Urumqi, China

Abstract

Global Positioning System (GPS) can provide precise positioning information to an unlimited number of users anywhere on the earth. However, the defect cannot be neglected, because there exists one blind district when the aerocraft flying through some altitude space. During the short time in the blind district, all radio signals can't be attained including the GPS signals. An integrated GPS/SINS (Strapdown Inertial Navigation System) Navigation system is presented in this paper. The SINS based on numerical computing platform has many advantages such as high reliability, small bulk and low cost ect. The integration of GPS and SINS, therefore, provides a navigation system that has superior performance in comparison with either a GPS or a SINS stand-alone system. This paper presents a new model-less algorithm that can perform the self-following of the aerocraft under all conditions. For improving the precision of the hybrid GPS/SINS navigation system, fusing data from a SINS and GPS hardware utilizes wavelet multi-resolution analysis (WMRA) and Radial Basis Function (RBF) Artificial Neural Networks (ANN). The WMRA is used to compare the SINS and GPS position outputs at different resolution levels. These differences represent, in general, the SINS errors, which are used to correct for the SINS outputs during GPS outages. The RBF-ANN model is then trained to predict the SINS position errors in real time and provide accurate positioning of the moving aerocraft. The simulations show that good results in SINS/GPS positioning accuracy can be obtained by applying the WMRA and RBF-ANN methods.

Citation Download Citation

Xuefen Zhu, Xiyuan Chen, and Zigang Li "A new method based on WMRA and ANN for GPS/SINS integration for aerocraft navigation", Proc. SPIE 6280, Third International Symposium on Precision Mechanical Measurements, 628037 (13 October 2006); https://doi.org/10.1117/12.716354

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