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A Neural Network GPS Navigation Algorithm

Wang Xiaoxiang;Wang Yulong;Xu Chaolun;Ke Youan (Department of Electronics Engineering,Beijing Institute of Technology,Beijing 100081)  
Aim study the estimation algorithm of the GPS receiver state solution.Methods A Hopfield neural network was used to process the GPS receiver data.Results Compared with the recursive least square(RMS) algorithm,the solution error of Neural Network was reduced both in mean bias and in rms error. Conclusion It is a success to use neural network in the estimation of GPS navigation solution, and THE accuracy is improved.
【CateGory Index】: V557.5,TN96
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1 Wang Xiaoxiang \ \ \ \ \ \ \ \ \ \ \ \ Ke YouanBeijing University of Posts and Telecommunications, 100876\ \ \ \ \ Beijing Institute of Telecommunications, 100081;On Various Factors to DGPS Error[J];系统工程与电子技术;2000-06
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