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The paper develops novel algorithms for time-varying (TV) sparse channel estimation in Massive multiple-input, multiple-output (MMIMO) systems. This is achieved by employing a novel reduced (non-uniformly spaced tap) delay-line equalizer, which can be related to low/reduced rank filters. This low rank filter is implemented by deriving an innovative TV (Krylov-space based) Multi-Stage Kalman Filter (MSKF), employing appropriate state estimation techniques.
Lecture Date: April 13, 2022 (Virtual Lecture)
Chapter: North New Jersey
Chapter Chair: Alfredo Tan
Topic: TBA
Lecture Date: March 1, 2022 (Virtual Lecture)
Chapter: Tokyo
Chapter Chair: Kazuya Takeda
Topic: TBA
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