GNSS接收机多路径噪声影响及其消除方的研究-电子与通信工程专业毕业论文.docx

Abstract Abstract In recent years，some new global navigation satellite systems have been beginning to build，such as the European Union’S Galileo navigation satellite system，China’S Beidou second generation navigation satellite system，and other regional navigation satellite systems，etc．At the same time，the American GPS navigation satellite system， Russia’S GLONASS navigation satellite system and their enhanced systems have been deepening modernization process gradually．The cooperative of the global navigation satellite systems has become an inevitable trend，which will obviously improve its positioning and navigation service’S accuracy，integrity,continuity and effectiveness， and rapidly expand its application range，especially for civilian areas．And a variety of complex environments also pose serious challenges，such as urban canyon and avenue， etc．Under these circumstances，the visible satellite get worse spatial distribution，and the pseudo range，Doppler frequency and carrier phase measurements are introduced into the non-Gauss noise，such as multipath noise，which makes the traditional kalman filtering algorithm model failure and damages the positioning accuracy directly．And this is called the multipath effect．It is particularly important to eliminate the multipath noise directly at the navigation algorithm level for ensuring the consistency of positioning and navigation service in a variety of environments and promoting the standard hardware GNSS receiver．The paper focuses on mitigating the effects of GNSS multipath noise：More specifically,more and more visible satellite measurements make the multipath noise sparse and compressible in a certain epoch，the paper estimates and eliminates the multipath noise by using the coded kalman filtering algorithm and its improved algorithm，recent mathematical results that underlie the field of compressive sensing and convex optimization．The results show the algorithms outperform traditional kalman filtering algorithm by a si