大作业：基于WiFi FTM 的室内定位技术研究

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Control (MAC) and Physical Layer (PHY) Specifications.pdf <span style='color:#111;'> 36.22MB </span>","children":null,"spread":false},{"title":"A Machine Learning Approach for Wi-Fi RTT Ranging.pdf <span style='color:#111;'> 2.49MB </span>","children":null,"spread":false}],"spread":true},{"title":"code","children":[{"title":"mycode-基本FTM-LS仿真","children":[{"title":"Gaussianfilter.m <span style='color:#111;'> 300B </span>","children":null,"spread":false},{"title":"LS.m <span style='color:#111;'> 2.79KB </span>","children":null,"spread":false}],"spread":true},{"title":"参考代码","children":[{"title":"WiFi-Location-Core-PE-and-Measurement-Database-master","children":[{"title":"README.md <span style='color:#111;'> 332B </span>","children":null,"spread":false},{"title":"Reference Positioning Engine & Measurements Database for Wi-Fi RTT (FTM) Positioning.pdf <span style='color:#111;'> 3.06MB </span>","children":null,"spread":false},{"title":"LICENSE.md <span style='color:#111;'> 1.47KB 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</span>","children":null,"spread":false},{"title":"Office1_80MHz_noisySynthRanges.csv <span style='color:#111;'> 441.44KB </span>","children":null,"spread":false}],"spread":false},{"title":"Office2_80MHz","children":[{"title":"Office2_80MHz_noisySynthRanges.csv <span style='color:#111;'> 962.34KB </span>","children":null,"spread":false},{"title":"Office2_80MHz_RSP_LIST.csv <span style='color:#111;'> 413B </span>","children":null,"spread":false},{"title":"Office2_80MHz_VenueFile.mat <span style='color:#111;'> 1.53MB </span>","children":null,"spread":false},{"title":"Office2_80MHz.csv <span style='color:#111;'> 962.52KB </span>","children":null,"spread":false}],"spread":false},{"title":"Office6_40MHz","children":[{"title":"Office6_40MHz_RSP_LIST.csv <span style='color:#111;'> 457B </span>","children":null,"spread":false},{"title":"Office6_40MHz_VenueFile.mat <span style='color:#111;'> 759.72KB </span>","children":null,"spread":false},{"title":"Office6_40MHz_noisySynthRanges.csv <span style='color:#111;'> 491.12KB </span>","children":null,"spread":false},{"title":"Office6_40MHz.csv <span style='color:#111;'> 491.21KB </span>","children":null,"spread":false}],"spread":false},{"title":"Office4_80MHz","children":[{"title":"Office4_80MHz.csv <span style='color:#111;'> 404.97KB </span>","children":null,"spread":false},{"title":"Office4_80MHz_noisySynthRanges.csv <span style='color:#111;'> 404.89KB </span>","children":null,"spread":false},{"title":"Office4_80MHz_VenueFile.mat <span style='color:#111;'> 1.53MB </span>","children":null,"spread":false},{"title":"Office4_80MHz_RSP_LIST.csv <span style='color:#111;'> 413B </span>","children":null,"spread":false}],"spread":false}],"spread":false},{"title":"mainFtmPE.m <span style='color:#111;'> 1.08KB </span>","children":null,"spread":false},{"title":"ReadFtmMeasFile.m <span style='color:#111;'> 1.20KB </span>","children":null,"spread":false}],"spread":true}],"spread":true},{"title":"A Machine Learning Approachfor Wi-Fi RTT Ranging Dataset","children":[{"title":"PlotFTMchannel.m <span style='color:#111;'> 2.32KB </span>","children":null,"spread":false},{"title":"mainFtmDatasetExample.m <span style='color:#111;'> 2.11KB </span>","children":null,"spread":false},{"title":"PlotFTMpositions.m <span style='color:#111;'> 1.22KB </span>","children":null,"spread":false},{"title":"新建文本文档.txt <span style='color:#111;'> 2.29KB </span>","children":null,"spread":false},{"title":"Office1_40MHz_VenueFile.mat <span style='color:#111;'> 48.57KB </span>","children":null,"spread":false},{"title":"RTT_data.csv <span style='color:#111;'> 102.74MB </span>","children":null,"spread":false},{"title":"SimpleFTMrangeEstimation.m <span style='color:#111;'> 5.03KB </span>","children":null,"spread":false},{"title":"README.txt <span style='color:#111;'> 3.35KB </span>","children":null,"spread":false},{"title":"LICENSE.txt <span style='color:#111;'> 1.47KB 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