Simultaneous context inference and mapping using mm-Wave for indoor scenarios

Yassin, Ali; Nasser, Youssef; Awad, Mariette; Al-Dubai, Ahmed

Abstract

We introduce in this paper two main approaches, Triangulateration (TL) and Angle-Difference-of-Arrival (ADoA) for indoor localization and mapping using single-anchor and millimeter wave (MMW) propagation characteristics. Then, we perform context inference through obstacle localization. To do so, we first include and estimate the positions of virtual anchor nodes (VANs), known as mirrors of the real anchor with respect to obstacle. Then, it is followed by estimating the obstacle position and its dimensions. We assess the performance of each technique via cumulative distribution function (CDF) for the location estimation root mean square error (RMSE). Simulations confirm that localization of the receiver relying on a single anchor and the localization of obstacles in MMW achieves a few centimeters accuracy

• Presentation Conference Type: Conference Paper (Published)
• Conference Name: 2017 IEEE International Conference on Communications (ICC)
• Start Date: May 21, 2017
• End Date: May 25, 2017
• Acceptance Date: Jan 21, 2017
• Online Publication Date: Jul 31, 2017
• Publication Date: Jul 31, 2017
• Deposit Date: Sep 12, 2017
• Publisher: Institute of Electrical and Electronics Engineers
• Pages: 1-6
• Series ISSN: 1938-1883
• Book Title: IEEE ICC 2017
• ISBN: 9781467389990
• DOI: https://doi.org/10.1109/icc.2017.7996976
• Keywords: Millimeter wave, Triangulateration (TL), Angle-Difference-of-Arrival (ADoA), virtual anchor node (VAN), obstacle detection
• Public URL: http://researchrepository.napier.ac.uk/Output/986776