Exploiting Channel Correlations for NLOS ToA Localization With Multivariate Gaussian Mixture Models.

IEEE Wireless Communications Letters(2020)

引用 28|浏览12
暂无评分
摘要
In this letter, we develop a Bayesian probabilistic approach for time-of-arrival (ToA) localization in non-line-of-sight (NLOS) channels, where multivariate Gaussian mixture models (GMM) are used to approximate the joint distribution of channel bias values and harness the channel correlations. Using over-the-air measurements from a proprietary localization system, we numerically demonstrate that t...
更多
查看译文
关键词
Bayes methods,Nonlinear optics,Correlation,Synchronization,Inference algorithms,Position measurement,Channel estimation
AI 理解论文
溯源树
样例
生成溯源树,研究论文发展脉络
Chat Paper
正在生成论文摘要