6 research outputs found
Wireless indoor positioning based on TDOA and DOA estimation techniques using IEEE 802.11 standards
Magdeburg, Univ., Fak. für Elektrotechnik und Informationstechnik, Diss., 2015von Abdo Nasser Ali Gabe
High-Robustness and Low-Complexity Joint Estimation of TOAs and CFOs for Multiuser SIMO OFDM Systems
A Multi-Dimensional Matrix Pencil-Based Channel Prediction Method for Massive MIMO with Mobility
This paper addresses the mobility problem in massive multiple-input
multiple-output systems, which leads to significant performance losses in the
practical deployment of the fifth generation mobile communication networks. We
propose a novel channel prediction method based on multi-dimensional matrix
pencil (MDMP), which estimates the path parameters by exploiting the
angular-frequency-domain and angular-time-domain structures of the wideband
channel. The MDMP method also entails a novel path pairing scheme to pair the
delay and Doppler, based on the super-resolution property of the angle
estimation. Our method is able to deal with the realistic constraint of
time-varying path delays introduced by user movements, which has not been
considered so far in the literature. We prove theoretically that in the
scenario with time-varying path delays, the prediction error converges to zero
with the increasing number of the base station (BS) antennas, providing that
only two arbitrary channel samples are known. We also derive a lower-bound of
the number of the BS antennas to achieve a satisfactory performance. Simulation
results under the industrial channel model of 3GPP demonstrate that our
proposed MDMP method approaches the performance of the stationary scenario even
when the users' velocity reaches 120 km/h and the latency of the channel state
information is as large as 16 ms
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Investigation of Indoor Propagation Algorithms for Localization Purposes: Simulation and Measurements of Indoor Propagation Algorithms for Localization Applications using Wall Correction Factors, Local Mean Power Estimation and Ray Tracing Validations
The objective of this work is to enhance the awareness of the indoor propagation behaviour, by a set of investigations including simulations and measurements. These investigations include indoor propagation behaviour, local mean power estimation, proposing new indoor path loss model and introducing a case study on 60 GHz propagation in indoor environments using ray tracing and measurements.
A summary of propagation mechanisms and manifestations in the indoor environment is presented. This comprises the indoor localization techniques using channel parameters in terms of angle of arrival (AOA), time of arrival (TOA) and received signal strength (RSS). Different models of path loss, shadowing and fast fading mechanisms are explored. The concept of MIMO channels is studied using many types of deterministic channel modelling such as Finite Difference Time Domain, Ray tracing and Dominant path model.
A comprehensive study on estimating local average of the received signal strength (RSS) for indoor multipath propagation is conducted. The effect of the required number of the RSS data and their Euclidian distances between the neighbours samples are investigated over 1D, 2D and 3D configurations. It was found that the effect of fast fading was reduced sufficiently using 2D horizontal’s arrangement with larger spacing configuration.
A modified indoor path loss prediction model is presented namely effective wall loss model (EWLM). The modified model with wall correction factors is compared to other indoor path loss prediction models using simulation data (for 2.4, 5, 28, 60 and 73.5 GHz) and real-time measurements (for 2.4 and 5 GHz). Different operating frequencies and antenna polarizations are considered to verify the observations. In the simulation part, EWLM shows the best performance among other models. Similar observations were recorded from the experimental results.
Finally, a detailed study on indoor propagation environment at 60 GHz is conducted. The study is supported by Line of Sight (LoS) and Non-LoS measurements data. The results were compared to the simulated ones using Wireless-InSite ray tracing software. Several experiments have confirmed the reliability of the modelling process based on adjusted material properties values from measurements