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Performance Improvement of GPS GDOP Approximation Using Recurrent Wavelet Neural Network

S. Tafazoli, M. R. Mosavi
2011 Journal of Geographic Information System  
In this paper, the rapid and precise calculation of GPS GDOP based on Recurrent Wavelet Neural Network (RWNN) has been introduced for selecting an optimal subset of satellites.  ...  The most correct method of calculating GPS GDOP uses inverse matrix for all combinations and selecting the lowest ones.  ...  The Figure 1 shows the overall diagram block of GPS GDOP approximation using NNs including Recurrent NN (RNN), Wavelet NN (WNN), and Recurrent Wavelet NN (RWNN).  ... 
doi:10.4236/jgis.2011.34029 fatcat:fu5qglycbbfqxm2kvq33y7ykr4

Model Predictive Filtering Based Neural Networks for GPS GDOP Approximation

Yang Yi, Gao Shesheng, Zhong Yongmin, Gu Chengfan
2016 Journal of Aerospace Engineering and Mechanics  
This paper presents a new method to calculate the geometric dilution of precision (GDOP) of GPS by incorporating the concept of model predictive filtering in the training process of neural networks to  ...  Experimental results and comparison analysis demonstrate that the proposed method can effectively approximate GDOP with improved accuracy and reduced training time.  ...  Acknowledgement The work of this paper is supported by the Australian Research Council (ARC) Discovery Early Career Award (DECRA) (DE130100274).  ... 
doi:10.36959/422/421 fatcat:dthh3gxvbnhmxig7d526c6mpee

Estimation of GPS L2 Signal Observables Using Multilayer Perceptron Artificial Neural Networks for Positional Accuracy Improvement

Cassio Vinícius Carletti Negri, Paulo Cesar Lima Segantine
2020 Earth Sciences Research Journal  
To improve the positioning with low-cost devices and to avoid additional user expenses, this work aims to propose the implementation of an Artificial Neural Network (ANN) to estimate the GPS L2 carrier  ...  The results indicate, therefore, that the methodological proposal of the present investigation is very promising for approximating the quality of positioning reachable using a dual-frequency receiver.  ...  In addition, a Recurrent Wavelet Neural Network (RWNN) was implemented in Mosavi (2007) to reduce GPS receiver time data noise and to model the errors of this source.  ... 
doi:10.15446/esrj.v24n1.78880 fatcat:a3a6i75go5ed5e4yuz3wbwwvqm