摘要
机器人与机器学习每日新闻的一位新闻记者兼新闻编辑-机器学习的最新研究结果已经发表。据NewsRx通讯员从中华人民共和国湖北发回的新闻报道，研究称：“全球卫星导航系统(GNSS)已广泛应用于各种高精度定位服务，已成为日常生产和生活中不可或缺的一部分，但在城市环境中，全球卫星导航系统极易受到非视线(NLOS)信号的干扰，导致定位精度急剧下降。”本研究的资金来源包括CAST资助的青年精英科学家、国家自然科学基金(NSFC)、中央大学基础研究基金。
Abstract
By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Current study results on Machine Learn ing have been published. According to news reporting originating from Hubei, Peo ple’s Republic of China, by NewsRx correspondents, research stated, “Global Sate llite Navigation System (GNSS) has been widely used in various high-precision po sitioning services and has become an indispensable part of daily production and life. However, in urban environments, GNSS is highly susceptible to interference from non-line-of-sight (NLOS) signals, resulting in a sharp deterioration in po sitioning accuracy.” Financial supporters for this research include Young Elite Scientists Sponsorshi p Program by CAST, National Natural Science Foundation of China (NSFC), Fundamen tal Research Funds for the Central Universities.
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