Millimeter Wave MIMO Channel Estimation with 1-bit Spatial Sigma-Delta Analog-to-Digital Converters
R. S. Prasobh Sankar, Sundeep Prabhakar Chepuri
Abstract
This paper focuses on channel estimation for mmWave MIMO systems with 1-bit spatial sigma-delta analog-to-digital converters (ADCs) and digital-to-analog converters (DACs). The channel estimation performance with 1-bit spatial sigma-delta modulators (i.e., ADCs or DACs) depends on the quantization noise modeling. Therefore, we present a new method for modeling the quantization noise by leveraging the deterministic input-output relation of the 1-bit spatial sigma-delta modulator. Using this new noise model, we propose a channel estimation algorithm for a narrowband single-user mmWave line-of-sight MIMO system by determining the unknown angles and path attenuation that characterize the flat-fading channel. Through simulations, we demonstrate that the performance of the developed method is comparable to the traditional unquantized system and significantly better than the conventional 1-bit quantized system.
BibTeX
@inproceedings{icassp2021_millimeterwavemi,
title = {Millimeter Wave MIMO Channel Estimation with 1-bit Spatial Sigma-Delta Analog-to-Digital Converters},
author = {R. S. Prasobh Sankar and Sundeep Prabhakar Chepuri},
booktitle = {ICASSP 2021},
year = {2021}
}