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Journal Articles IEEE Transactions on Antennas and Propagation Year : 2017

A Millimeter-Wave Indoor Backscattering Channel Model for Environment Mapping

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Abstract

In this communication, we introduce a channel model for personal radar applications where a millimeter-wave (mm-wave) massive array is required to scan the environment and to reconstruct a map of it. The analysis is based on measurement campaigns, in a corridor and in an office room, performed using mm-wave massive arrays. In such a context, we aim at characterizing the channel from both a temporal and an angular perspective by exploiting a 2D CLEAN-like technique to extrapolate the multipath components and a K-means algorithm for clustering, where centroids statistics depend on the environment contour. The obtained channel model can be exploited for mapping algorithms based on backscattered radar measurements.
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Dates and versions

cea-02202428 , version 1 (31-07-2019)

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Anna Guerra, Francesco Guidi, Davide Dardari, Antonio Clemente, Raffaele d'Errico. A Millimeter-Wave Indoor Backscattering Channel Model for Environment Mapping. IEEE Transactions on Antennas and Propagation, 2017, 65 (9), pp.4935-4940. ⟨10.1109/TAP.2017.2728088⟩. ⟨cea-02202428⟩
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