Open AccessDetailed analysis of energy detection‐based millimetre‐wave time‐of‐arrival measurement system
Author(s) -
Liang Xiaolin,
Lyu Tingting,
Li Guigeng,
Xiao Han,
Zhang Hao,
Gulliver Thomas Aaron
Publication year - 2018
Publication title -
iet communications
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.355
H-Index - 62
eISSN - 1751-8636
pISSN - 1751-8628
DOI - 10.1049/iet-com.2017.1177
Subject(s) - ranging , multipath propagation , computer science , detector , energy (signal processing) , millimetre wave , wideband , extremely high frequency , noise (video) , ultra wideband , electronic engineering , telecommunications , physics , optics , channel (broadcasting) , artificial intelligence , engineering , quantum mechanics , image (mathematics)
Millimetre‐wave (MMW) in 60 GHz extremely high‐frequency band is deemed as a promising technique in indoor localisation based on its high multipath resolution, which can achieve higher measurement precision than ultra‐wideband system. To reduce the positioning errors, this study presents a new threshold determination scheme based on the extreme learning machine by analysing the characteristics of the received MMW pulses from the energy detector receiver. For each given signal‐to‐noise ratio, the thresholds are examined. The impacts on ranging accuracy are analysed due to the integration periods and propagation models. Results show the developed method can extensively improve the ranging precision.