关键词: 联邦卡尔曼滤波, 全球定位系统, 基站定位系统, 水平精度因子, 载噪比

Abstract:

An information fusion algorithm was proposed for using both global positioning system (GPS)/base-station positioning system to get high positioning accuracy. The system state was modeled by analyzing the movement features, and the federated Kalman filter was used to fuse the two systems. The effect of information distribution factor was analyzed. A distribution method was proposed by horizontal dilution of precision and carrier to noise ratio. The positioning accuracy was improved by using the proposed algorithm. Simulations and examinations show the effectiveness of the algorithm.

Key words: federated Kalman filter, global positioning system, base-station positioning system, horizontal dilution of precision, carrier to noise ratio