Bayesian detection and tracking for joint positioning and multipath mitigation in GNSS

B. Krach, M. Lentmaier, P. Robertson
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引用次数: 11

Abstract

A sequential Bayesian estimation algorithm for joint positioning and multipath mitigation in global navigation satellite systems is presented, with an underlying process model that is especially designed for dynamic user scenarios and dynamic channel conditions. In order to facilitate efficient integration into receivers it builds upon complexity reduction concepts that previously have been applied within maximum likelihood estimators. To demonstrate its capabilities simulation results are presented.
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GNSS联合定位与多径缓解的贝叶斯检测与跟踪
提出了一种用于全球卫星导航系统联合定位和多径缓解的序列贝叶斯估计算法,并建立了一个专门针对动态用户场景和动态信道条件设计的底层过程模型。为了便于有效地集成到接收器中,它建立在以前在最大似然估计中应用的复杂性降低概念的基础上。为了验证其性能,给出了仿真结果。
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