Combined BDS and GPS Adaptive Vector Tracking Loop in Challenge Environment

• 作 者: YulongSong;BaowangLian;
• 机 构: School of Electronics and Information, Northwestern Polytechnical University, Xi'an, China
• 出 处: 第七届中国卫星导航学术年会
• 发表日期: 2016年期

　　Satellite navigation receiver would have difficulties in continuous positioning or get a bad positioning performance in dense urban environment,mostly due to low signal-to-noise ratio and frequently signal outage.To improve robustness under the challenge environment,a combined BDS (BeiDou Satellites System) and GPS (Global Positioning System) adaptive vector tracking loop is proposed.An adaptive EKF (Extended Kalman Filter) base on innovation sequences is employed to tune the tracking loop,and generate navigation solutions.The algo-rithms are implemented on Matlab software receiver and digital IF (Intermediate Frequency) signals grabbed by a GNSS (Global Navigation Satellite System) signal sampler under blocked outdoor scenarios are utilized to verify the performance.The tracking and positioning results of vector and scalar tracking loop are compared.