Blind Sparse Estimation of Intermittent Sources Over Unknown Fading Channels.

IEEE Transactions on Vehicular Technology(2019)

引用 6|浏览0
暂无评分
摘要
Radio frequency sources are observed at a fusion center via sensor measurements made over slow flat-fading channels. The number of sources may be larger than the number of sensors, but their activity is sparse and intermittent with bursty transmission patterns. To account for this, sources are modeled as hidden Markov models with known or unknown parameters. The problem of blind source estimation ...
更多
查看译文
关键词
Hidden Markov models,Estimation,Wireless networks,Dictionaries,Fading channels,Channel estimation,Source separation
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