Flexible real-time MIMO channel sounder for multidimensional polarimetric parameter estimation

IEEE Trans. Veh. Technol.

Challita

et al. 2019

Due to rapid changes in the environment, vehicular communication channels no longer satisfy the assumption of wide-sense stationary uncorrelated scattering. The non-stationary fading process can be characterized by assuming local stationarity regions with finite extent in time and frequency. The local scattering function (LSF) and channel correlation function (CCF) provide a framework to characterize the mean power and correlation of the non-stationary channel scatterers, respectively. In this work, we estimate the LSF and CCF from measurements collected in a vehicle-to-infrastructure radio channel sounding campaign in a suburban environment in Lille, France. Based on the CCF, the stationarity region is evaluated in time as 567 ms, and used to capture the non-stationary fading parameters. We obtain the time-varying delay and Doppler power profiles from the LSF, and we analyze the corresponding root-mean-square (RMS) delay and Doppler spreads. We show that the distribution of these parameters follows a lognormal model. Finally, application relevance in terms of channel capacity and diversity techniques is discussed. Results show that the assumption of ergodic capacity and the performance of various diversity techniques depend on the stationarity and coherence parameters of the channel. The evaluation and statistical modeling of such parameters can provide a way of tracking channel variation, hence, increasing the performance of adaptive schemes.

Section: Measurement Setup and Scenariomentioning

confidence: 99%

Stationarity Analysis of V2I Radio Channel in a Suburban Environment

Yusuf

IEEE Trans. Veh. Technol.

Challita

et al. 2019

“…Channel measurements are performed with the MIMOSA radio channel sounder [16]. We use 80 MHz of transmission bandwidth centered around a carrier frequency of 1.35 GHz.…”

Section: Description Of Measurements and Methodologymentioning

confidence: 99%

Experimental Characterization of Non-Stationary V2I Radio Channel in Tunnels

Yusuf

2020 IEEE 91st Vehicular Technology Conference (VTC2020-Spring)

Martens

et al. 2020

The fading process in vehicular communications is inherently non-stationary. In this paper, vehicle-to-infrastructure (V2I) radio channel measurements are performed inside a tunnel for low and medium traffic conditions to estimate the stationarity time, in addition to the time-varying RMS delay and Doppler spreads. Furthermore, we show the good fit of the spreads to a lognormal distribution, as well as for the Rician K-factor of the fading amplitude. From our analysis we conclude that the traffic density has an impact on the large-scale parameters as it increases delay and Doppler spreads, while reducing the correlation between them as well as the average K-factor. Larger traffic densities may be required to impact the stationarity time.

“…All measurements were done outside of regular working hours, since frequency-swept measurements with virtual arrays require the radio channel to be static, without any form of movement. It should be noted that a real antenna array and advanced channel sounder equipment (e.g., the MIMOSA sounder [16] or the RUSK sounder [17]) can measure this channel in less than a millisecond. By doing so, the channel can be considered static during this period of time, and the requirement that the channel should not contain any movement can be omitted.…”

Section: B Channel Sounding Proceduresmentioning

confidence: 99%

An Indoor Variance-Based Localization Technique Utilizing the UWB Estimation of Geometrical Propagation Parameters

Hanssens

David

IEEE Trans. Antennas Propagat.

et al. 2018

This work presents a novel localization framework based on Ultra-Wideband (UWB) channel sounding, employing a triangulation method using the geometrical properties of propagation paths, such as time of arrival, angle of departure, angle of arrival, and their estimated variances. In order to extract these parameters from the UWB sounding data, an extension to the high-resolution RiMAX algorithm was developed, facilitating the analysis of these frequency-dependent multipath parameters. This framework was then tested by performing indoor measurements with a vector network analyzer and virtual antenna arrays. The estimated means and variances of these geometrical parameters were utilized to generate multiple sample sets of input values for our localization framework. Next to that, we consider the existence of multiple possible target locations, which were subsequently clustered using a Kim-Parks algorithm, resulting in a more robust estimation of each target node. Measurements reveal that our newly proposed technique achieves an average accuracy of 0.26 m, 0.28 m and 0.90 m in Line-of-Sight (LoS), Obstructed-LoS (OLoS), and Non-LoS (NLoS) scenarios, respectively, and this with only one single beacon node. Moreover, utilizing the estimated variances of the multipath parameters proved to enhance the location estimation significantly compared to only utilizing their estimated mean values.