Abstract

In order to solve the problem of millimeter-wave massive MIMO channel estimation in a relay environment, this paper proposes a single-path channel model of a downstream millimeter-wave massive MIMO relay system. After that, based on the Compressive Sensing (CS) algorithm, an adaptive compressed sensing channel estimation scheme is proposed. Simulation experiments prove the applicability of the compressed sensing algorithm under the relay channel model. Finally, this paper compares the adaptive compressed sensing algorithm with the traditional orthogonal matching tracking (OMP) compressed sensing algorithm, and proves that the proposed adaptive compressed sensing algorithm improves the channel estimation accuracy.

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