Special Issue "Indoor Localization: Technologies and Challenges"

A special issue of Electronics (ISSN 2079-9292). This special issue belongs to the section "Microwave and Wireless Communications".

Deadline for manuscript submissions: 31 December 2019.

Special Issue Editor

Guest Editor
Dr. Raúl Montoliu

Institute of New Imaging Technologies, Jaume I University, 12071 Castellón, Spain
Website | E-Mail
Interests: Indoor localization; machine learning; game AI

Special Issue Information

Dear Colleagues,

Many technologies are under development for Indoor Positioning and Indoor Navigation. A great variety of promising technical solutions has been proposed, which are suitable for various application areas and use cases, e.g., IoT, home, public areas, or industrial environments, but there is no designated indoor positioning system that meets expectations as GNSS outdoors. These technologies operate using radio waves, acoustic, optical, infrared or radar signals, signal strength, magnetic sensors, and inertial sensors, among others.

This Special Issue encourages authors from academia and industry to submit new research results regarding technological innovations and novel applications for the indoor positioning and navigation of sensor networks. We also welcome comprehensive reviews on well-established and relatively mature technologies, demonstrating the technical performance, potentials, and limitations of these technical solutions.

Topics of interest include but are not limited to the following areas:

  • Localization technologies: TOF, TDOA, AoA, ADoA, RSSI, fingerprinting, dead reckoning;
  • Sensors and sensory systems: acoustic, RF, UWB, optical, magnetic, IMU;
  • Sensor fusion, filtering, and error mitigation;
  • Hybrid positioning;
  • Signal processing for indoor localization;
  • Machine learning in indoor localization;
  • Applications and localization services (ambient assisted living, robotics, etc.);
  • Unconventional solutions;
  • News trends on indoor localization.

Prof. Dr. Raúl Montoliu
Guest Editor

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All papers will be peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Electronics is an international peer-reviewed open access monthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 1400 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Published Papers (1 paper)

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Open AccessArticle
Fine Frequency Acquisition Scheme in Weak Signal Environment for a Communication and Navigation Fusion System
Electronics 2019, 8(8), 829; https://doi.org/10.3390/electronics8080829
Received: 14 June 2019 / Revised: 23 July 2019 / Accepted: 23 July 2019 / Published: 25 July 2019
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A novel communication and navigation fusion system (CNFS) was developed to realized high accuracy positioning in constrained conditions. Communication and navigation fusion signal transmitted by base stations are in the same time and frequency band but are allocated different power levels. The positioning [...] Read more.
A novel communication and navigation fusion system (CNFS) was developed to realized high accuracy positioning in constrained conditions. Communication and navigation fusion signal transmitted by base stations are in the same time and frequency band but are allocated different power levels. The positioning receiver of CNFS requires signal coverage of at least four base stations to realize positioning. The improvement of receiver sensitivity is an important way to expand signal coverage of base station. As an essential stage of signal processing in CNFS positioning receiver, signal acquisition requires a trade-off between improvement of acquisition frequency accuracy and reduction in computational load. A new acquisition algorithm called PMF-FC-BA-FFT method is proposed to acquire the carrier frequency accurately with lower computational load in a weak signal environment. The received signal is firstly filtered by partially matched filters (PMF) with local replica pseudorandom noise (PRN) sequences being coefficients to strip off the PRN code in the signal. Frequency compensation (FC) was performed to avoid the large attenuation in block accumulation (BA) and generate a series of signals with a small frequency offset step. Block accumulation was then executed. Finally, the acquisition detection was performed based on a series of fast Fourier transformation (FFT) outputs to obtain acquisition results with fine frequency estimation. Simulations and experimental tests results show that the proposed method can realize high accuracy frequency acquisition in a weak signal environment with fewer computational resources compared with existing acquisition methods. Full article
(This article belongs to the Special Issue Indoor Localization: Technologies and Challenges)

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