Equivalent MIMO Channel Matrix Sparsification for Enhancement of Sensor Capabilities

Mikhail Bakulin1, Vitaly Kreyndelin1, Sergei Melnik1

  • 1Faculty of Radio and Television, Moscow Technical University of Communications and Informatics (MTUCI), 111024 Moscow, Russia.

Summary

New mobile communication methods use large antenna systems. This study transforms multiple-input multiple-output (MIMO) channels into sparse matrices, enabling efficient signal detection using message-passing algorithms (MPAs).

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