| 基于无监督学习和粒子滤波的非视距信号检测 |
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| 引用本文： | 侯宁宁,李灯熬,赵菊敏.基于无监督学习和粒子滤波的非视距信号检测[J].北京航空航天大学学报,2022,48(11):2250-2258. |
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| 作者姓名： | 侯宁宁 李灯熬 赵菊敏 |
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| 作者单位： | 1.太原理工大学 信息与计算机学院, 太原 030024 |
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| 基金项目： | 国家自然科学基金61772358国家重点研发计划2018YFB2200900 |
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| 摘 要： | 全球卫星导航系统(GNSS)是目前应用最广泛的定位技术, 研究城市峡谷中的定位问题时, 由于高楼大厦的阻塞, 仍存在非视距传播导致的性能退化问题。为此, 提出了无监督学习粒子滤波(UL-PF)算法。在卫星信号分类阶段, 使用核k-means聚类的无监督学习分类方法, 在定位阶段, 使用通过聚类算法优化的粒子滤波方法。所提算法考虑了采样粒子在状态空间分布中的内在相似性, 探索在每个聚类中选择一个粒子作为重要粒子, 利用时间序列相关技术提高重采样粒子集的多样性。实验表明:在城市场景中, 所提算法的平均定位精度从传统算法的15 m提高到约5 m, 收敛时间从500 s缩短到200 s左右。
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| 关 键 词： | 全球卫星导航系统 非视距分类 核k-means 粒子滤波 无监督学习 |
| 收稿时间： | 2021-02-08 |
Non-line-of-sight signal detection based on unsupervised learning and particle filtering |
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| Affiliation: | 1.College of Information and Computer, Taiyuan University of Technology, Taiyuan 030024, China2.Shanxi Province Spatial Information Network Engineering Technology Research Center, Taiyuan 030024, China3.College of Data Science, Taiyuan University of Technology, Taiyuan 030024, China |
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| Abstract: | Global navigation satellite system (GNSS) is the most widely used positioning technology at present. Due to high-rise structures blocking the signal, the performance deterioration caused on by non-line-of-sight propagation still remains while studying the positioning problem in urban canyons. In order to solve this problem, the unsupervised learning-partinle filter (UL-PF) algorithm is proposed. In the satellite signal classification stage, the unsupervised learning classification method using kernel k-means clustering is used. In the positioning stage, the particle filter method optimized by clustering algorithm is used. The method first considers the inherent similarity of the sampled particles in the state space distribution. Secondly, it explores how to select one particle as the key particle in each cluster and increase the diversity of resampled particle sets by using time series correlation techniques. Experiments show that the average positioning accuracy of the proposed algorithm in urban is improved from 15 m to about 5 m, and the convergence time is reduced from 500 s to about 200 s. |
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