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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
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
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