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MILLIMETER WAVE MIMO CHANNEL ESTIMATION WITH 1-BIT SPATIAL SIGMA-DELTA ANALOG-TO-DIGITAL CONVERTERS

Citation Author(s):
R. S. Prasobh Sankar, Sundeep Prabhakar Chepuri
Submitted by:
R.S. Prasobh Sankar
Last updated:
27 June 2021 - 2:34am
Document Type:
Presentation Slides
Document Year:
2021
Event:
Presenters Name:
R. S. Prasobh Sankar
Paper Code:
SPCOM-4.2

Abstract 

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.

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