Published: March 01, 2019
Chiehping Lai, Roy Sun, Camillo A. 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.
Citation: IEEE Transactions on Antennas and Propagation
Pub Type: Journals
Assignment problem, Hungarian algorithm, mmWave, wireless
Created March 01, 2019, Updated March 06, 2019