Multipath Parameters Estimation of Weak GPS Signal Based on New Colored Noise Unscented Kalman Filter

摘要：

Multipath is one of the dominant error sources of code tracking in indoor and other harsh environments. In this research work, a new colored noise unscented Kalman filter (UKF) is introduced to estimate the multipath parameters of weak GPS signal. For improving the carrier to noise ratio, it uses a block-averaging signal pre-processing method (BAP) to process the received weak GPS signal. The signal after pre-processed is used as input of the multiple correlators. The In-phase and Quadrate phase values of multiple correlators are used as the observational measurements of UKF to estimate the code tracking’s multipath parameters such as amplitude, code delay, phase, carrier Doppler. The simulation results show that this method can effectively estimate multipath parameters of weak GPS signal, of which carrier to noise ratio is down to 21dB-Hz, so it proves the effectiveness of this method.

关键词： block-averaging signal pre-processing colored noise multipath weak GPS signal

作者: Gannan Yuan Yanjun Xie Yang Song Haibo Liang

作者单位: College of Automation Harbin Engineering University Harbin,Heilongjiang Province,China

会议类型: 国际会议

会议名称: 2010 IEEE信息与自动化国际会议(ICIA 2010)

会议地点: 哈尔滨

会议语种:英文

页码: 1-5

在线出版日期: 2010-06-20（万方平台首次上网日期，不代表论文的发表时间）