首页|School of Surveying and Land Information Engineering Researchers Report on Findi ngs in Machine Learning (Analysis of Machine Learning-Based NLOS Signal Identifi cation Algorithm for UWB Indoor Localization Using CIR Waveform Features)
School of Surveying and Land Information Engineering Researchers Report on Findi ngs in Machine Learning (Analysis of Machine Learning-Based NLOS Signal Identifi cation Algorithm for UWB Indoor Localization Using CIR Waveform Features)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News – Research findings on artificial intelligence are discussed in a new report.According to news reporting out of Jiaozuo, People’s Republic of China, by NewsRx editors, research stated, “Ultra-wideband (UWB) tec hnology stands out among numerous indoor positioning techniques due to its high operating frequency, low interception capability, resistance to multipath effect s, and strong penetration.The UWB uses the time-of-arrival (TOA) to estimate th e distance between the transmitter and receiver anchors in centimeter accuracy.”
School of Surveying and Land Information EngineeringJiaozuoPeople’s Republic of ChinaAsiaAlgorithmsCyborgsEm erging TechnologiesMachine Learning
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