Receiver-channel based adaptive blind equalization approach for GPS dynamic multipath mitigation
Receiver-channel based adaptive blind equalization approach for GPS dynamic multipath mitigation作者机构:School of Electronics and Information Engineering Beihang University
出 版 物:《Chinese Journal of Aeronautics》 (中国航空学报(英文版))
年 卷 期:2013年第26卷第2期
页 面:378-384页
核心收录:
学科分类:081802[工学-地球探测与信息技术] 08[工学] 081105[工学-导航、制导与控制] 0818[工学-地质资源与地质工程] 0804[工学-仪器科学与技术] 0811[工学-控制科学与工程]
基 金:co-supported by National Natural Science Foundation of China (No. 61101075) the Pre-research Foundation (No. 9140A24040710HK0126) Fundament Research Funds for the Central Universities (YWF-11-02-176)
主 题:Blind equalization Correlation distortion Dynamic multipath mitigation Real-time recursive least square algorithm Satellite navigation
摘 要:Aiming at mitigating multipath effect in dynamic global positioning system (GPS) satellite navigation applications, an approach based on channel blind equalization and real-time recursive least square (RLS) algorithm is proposed, which is an application of the wireless communication channel equalization theory to GPS receiver tracking loops. The blind equalization mechanism builds upon the detection of the correlation distortion due to multipath channels; therefore an increase in the number of correlator channels is required compared with conventional GPS receivers. An adaptive estimator based on the real-time RLS algorithm is designed for dynamic estimation of multipath channel response. Then, the code and carrier phase receiver tracking errors are compensated by removing the estimated multipath components from the correlators' outputs. To demonstrate the capabilities of the proposed approach, this technique is integrated into a GPS software receiver connected to a navigation satellite signal simulator, thus simulations under controlled dynamic multipath scenarios can be carried out. Simulation results show that in a dynamic and fairly severe multipath environment, the proposed approach achieves simultaneously instantaneous accurate multipath channel estimation and significant multipath tracking errors reduction in both code delay and carrier phase.