Tensor-Based High-Resolution Channel Parameter Estimation for Hybrid MIMO OFDM Systems in the Millimeter Wave Band is coming at 02/10/2020 - 4:00pm
Linus Pauling Science Center 125 Mon, 02/10/2020 - 4:00pm Martin Haardt Professor, Communications Research Laboratory, Ilmenau University of Technology Abstract: In this talk, we present a gridless channel estimation scheme for MIMO OFDM systems in the millimeter wave (mmWave) band that is based on R-D Unitary Tensor-ESPRIT in DFT beamspace. Compared to conventional ESPRIT based algorithms in element space, the beamspace approach can be applied to MIMO systems with hybrid architectures. Moreover, the proposed scheme significantly reduces the training overhead for communication systems operating in the mmWave band. The proposed procedure involves coarse and fine estimation steps. During the coarse estimation step, Unitary Tensor-ESPRIT in element space is applied to the array with a reduced size aperture to obtain initial information about the directions of arrival, the directions of departure, and the propagation delays of the dominant multipath components. Based on these estimates, a more accurate estimation of the angular profiles, propagation delays, and channel gains is performed in a second step by applying 3-D Unitary Tensor-ESPRIT in DFT beamspace in the spatial domains combined with the element space version in the frequency domain. We explain how to combine the received signals from different spatial sectors of interest and how to perform joint processing. The simulation results confirm the tensor gain of the proposed procedure in addition to the improved channel estimation accuracy. Bio: Read more: http://eecs.oregonstate.edu/colloquium/tensor-based-high-resolution-chan... [1] [1] http://eecs.oregonstate.edu/colloquium/tensor-based-high-resolution-channel-parameter-estimation-hybrid-mimo-ofdm-systems
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