2018 article
Training-Based Joint Channel and Antenna Impedance Estimation
2018 52ND ANNUAL CONFERENCE ON INFORMATION SCIENCES AND SYSTEMS (CISS).
author keywords: Channel Estimation; Impedance Estimation; Maximum-Likelihood Estimation; Training Sequences
TL;DR:
It is suggested that antenna impedance can be accurately estimated, in exchange for a small, controlled increase in channel estimation error, and maximum-likelihood estimators for the channel and impedance are derived.
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(Web of Science)
Source: Web Of Science
Added: August 6, 2018
We consider joint channel and antenna impedance estimation based on training data for single-input, single-output channels. The aim is to leverage the resources available in wireless systems for channel estimation to estimate antenna impedance as well. We assume the transmitter sends a known training sequence, during which the receiver varies its impedance in a known way. Based on this observation, we derive maximum-likelihood estimators for the channel and impedance. We show these estimators generally exhibit heavy tails, and explore estimator performance through numerical examples. Our results suggest that antenna impedance can be accurately estimated, in exchange for a small, controlled increase in channel estimation error.