GPS SATELLITE SIMULATOR SIGNAL ESTIMATION BASED ON ANN  

作　　者：Kou Yanhong Yang Dongkai Zhang Qishan 

机构地区：[1]School of Electronic and Information Engineering, Beihang University, Belting 100083, China

出　　处：《Journal of Electronics(China)》2005年第5期458-464,共7页电子科学学刊（英文版）

基　　金：Supported by the National Natural Science Foundation of China (No.60027001).

摘　　要：Multi-channel Global Positioning System (GPS) satellite signal simulator is used to provide realistic test signals for GPS receivers and navigation systems. In this paper, signals arriving the antenna of GPS receiver are analyzed from the viewpoint of simulator design. The estimation methods are focused of which several signal parameters are difficult to determine directly according to existing experiential models due to various error factors. Based on the theory of Artificial Neural Network (ANN), an approach is proposed to simulate signal propagation delay,carrier phase, power, and other parameters using ANN. The architecture of the hardware-in-the-loop test system is given. The ANN training and validation process is described. Experimental results demonstrate that the ANN designed can statistically simulate sample data in high fidelity.Therefore the computation of signal state based on this ANN can meet the design requirement,and can be directly applied to the development of multi-channel GPS satellite signal simulator.Multi-channel Global Positioning System （GPS） satellite signal simulator is used to provide realistic test signals for GPS receivers and navigation systems. In this paper, signals arriving the antenna of GPS receiver are analyzed from the viewpoint of simulator design. The estimation methods are focused of which several signal parameters are difficult to determine directly according to existing experiential models due to various error factors. Based on the theory of Artificial Neural Network （ANN）, an approach is proposed to simulate signal propagation delay, carrier phase, power, and other parameters using ANN. The architecture of the hardware-in-theloop test system is given. The ANN training and validation process is described. Experimental results demonstrate that the ANN designed can statistically simulate sample data in high fidelity. Therefore the computation of signal state based on this ANN can meet the design requirement, and can be directly applied to the development of multi-channel GPS satellite signal simulator.

关 键 词：Artificial Neural Network （ANN） Global Positioning System （GPS） SIMULATOR Signal estimation Pseudorange error 

分 类 号：P228.4[天文地球—大地测量学与测量工程] TP183[天文地球—测绘科学与技术]