Мақола

The Application of Discrete Fourier Transforms in Reducing the Calibration Effort of Indoor Positioning Systems

Anvar NarzullaevFaculty of Science and Technology, Universiti Sains Islam MalaysiaZahriddin MuminovUzbek-Israel Faculty of High Technology, National University of UzbekistanZ. K. EshkuvatovFaculty of Science and Technology, Universiti Sains Islam MalaysiaNorazmir Mohd NordinFaculty of Science and Technology, Universiti Sains Islam MalaysiaS BroughtonK BryanP DavidsonR PichF DwiyasaM LimS HeS ChanY HuW ZhouZ WenY SunB YinJ JunL HeY GuW JiangG KushwahaA VipinT ZhuA KhalajmehrabadiN GatsisD AkopianM LeeD HanA NarzullaevFaculty of Science and Technology, Universiti Sains Islam MalaysiaY ParkA NemadalievM SelamatM OthmanK Sharif

ASM Science Journaljournal2020en

ABI

Аннотация

For the past decade, Wi-Fi signal fingerprinting algorithm has been considered as a prevalent solution for indoor positioning systems. Fingerprinting based methods require a massive database of Wi-Fi signal samples to calibrate the indoor positioning system and to achieve a high location accuracy.

Мавзулар

Sensor Technology and Measurement Systems Inertial Sensor and Navigation Advanced Control and Stabilization in Aerospace Systems

Идентификаторлар

DOI: 10.32802/asmscj.2020.sm26(4.23)

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