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Methodology for Multipath-Component Tracking in Millimeter-Wave Channel Modeling



Chiehping Lai, Roy Sun, Camillo Gentile, Peter B. Papazian, Jian Wang, Jelena Senic


In this paper, we describe an extensive channel-measurement campaign - including 325 unique transmitter-receiver configurations - conducted in a lecture room with our 3D double- directional 60-GHz channel sounder. The receiver was mounted on a mobile robot with 40-cm spacing between channel acquisitions, enabling the tracking of clustered multipath components in the multi-dimensional delay-angle space. To mitigate against angle-estimation error and multipath occlusion or overlap, we introduce a robust tracking algorithm based on the assignment problem. For the sake of validation, the clusters were projected from the delay- angle space onto a 2D map of the environment and compared against the locations of cluster- generating scatterers, such as walls and tables. The location estimation errors were typically within 30-50 cm. The clusters identified were then reduced to a stochastic map-based channel model, including the reflection loss of each scatterer as well as their dispersion characteristics, such as the K-factor and angular spread. Given the delay resolution of the channel sounder is 0.5 ns and the angle-estimation error around 2°, the parameters were reported with high fidelity.
IEEE Transactions on Antennas and Propagation


Assignment problem, Hungarian algorithm, mmWave, wireless


Lai, C. , Sun, R. , Gentile, C. , Papazian, P. , Wang, J. and Senic, J. (2019), Methodology for Multipath-Component Tracking in Millimeter-Wave Channel Modeling, IEEE Transactions on Antennas and Propagation, [online],, (Accessed May 19, 2024)


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Created February 28, 2019, Updated October 12, 2021