Wideband mmWave Channel Estimation for Hybrid Massive MIMO with Low-Precision ADCs

Abstract

In this article, we investigate channel estimation for wideband millimeter-wave (mmWave) massive multiple-input multiple-output (MIMO) under hybrid architecture with lowprecision analog-to-digital converters (ADCs). To design channel estimation for the hybrid structure, both analog processing components and frequency-selective digital combiners need to be optimized. The proposed channel estimator follows the typical linear-minimum-mean-square-error (LMMSE) structure and applies for an arbitrary channel model. Moreover, for sparsity channels as in mmWave, the proposed estimator performs more efficiently by incorporating orthogonal matching pursuit (OMP) to mitigate quantization noise caused by low-precision ADCs. Consequently, the proposed estimator outperforms conventional ones as demonstrated by computer simulation results.

References in corpus (6)

• Channel Estimation and Hybrid Precoding for Millimeter Wave Cellular Systems
• Low-Complexity Hybrid Precoding in Massive Multiuser MIMO Systems
• Channel Estimation and Performance Analysis of One-Bit Massive MIMO Systems
• Channel Estimation for Millimeter-Wave Massive MIMO with Hybrid Precoding over Frequency-Selective Fading Channels
• Channel Estimation and Hybrid Precoding for Frequency Selective Multiuser mmWave MIMO Systems
• Subspace Estimation and Decomposition for Large Millimeter-Wave MIMO systems