Tracking of Wideband Multipath Components in a Vehicular Communication Scenario

Abstract

A detailed understanding of the dynamic processes of vehicular radio channels is crucial for its realistic modeling. In this paper, we present multipath components (MPCs) tracking results from a channel sounder measurement with 1-GHz bandwidth at a carrier frequency of 5.7 GHz. We describe in detail the applied algorithms and perform a tracking performance evaluation based on artificial channels and on measurement data from a tunnel scenario. The tracking performance of the proposed algorithm is comparable to the tracking performance of the state-of-the-art Gaussian mixture probability hypothesis density filter but with a significantly lower complexity. The fluctuation of the measured channel gain is followed very well by the proposed tracking algorithm, with a power loss of only 2.5 dB. We present statistical distributions for the number of MPCs and the birth/death rate. The applied algorithms and tracking results can be used to enhance the development of geometry-base d channel models

Measurement-Based Wideband Analysis of Dynamic Multipath Propagation in Vehicular Communication Scenarios

“…The applied short-term tracking method does not capture diffuse parts of the propagation channel, which leads to a certain power loss, as explained in [24]. In addition, disregarding non-full-lifetime MPCs leads to a further power loss.…”

“…where T r is the recording set period, T b = 1/B is the delay resolution period and B the measurement bandwidth of the channel sounder. More explanations on this discretization can be found in [24]. Now, similar to definitions in [18], we define three sets of MPCs:…”

6G Wireless Systems: Vision, Requirements, Challenges, Insights, and Opportunities

“…V2V channels in urban scenarios tend to be much richer in their multipath structure [173]. 4) MPCs (especially in urban settings) tend to have a limited lifetime with frequent deaths and births [174]. 5) Blocking of the LOS by other vehicles tends to have a significant impact on the path loss.…”

The COST IRACON Geometry-Based Stochastic Channel Model for Vehicle-to-Vehicle Communication in Intersections

“…3) Generate ξ u drawn from the standard normal distribution. 4) Generate Ψ u according to (17) for samples u = 1, 2, . .…”