GPS satellite simulatior signal estimation based on ANN
基于人工神经网络的GPS卫星信号模拟器信号估计方法

Multi-channel GPS satellite signal simulator provides realistic test signals for GPS receivers and navigation systems. In this paper, signals arriving the antenna of GPS receiver are analyzed from the point of view of simulator design. Focus is put on the estimation methods of several signal parameters that 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 to simulate signal propagation delay, carrier phase, power, and other parameters using ANN is proposed. 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 simulate sample data statistically 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.