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PUBLICATIONS

Monte Carlo Augmented Channel Estimator

Published

Author(s)

Alec Weiss, Atef Elsherbeni, Jeanne Quimby, Jake Rezac

Abstract

We have developed a novel Monte Carlo-augmented channel estimator for millimeter-wave orthogonal frequency division multiplexing systems To better estimate and correct a transmitted orthogonal frequency division multiplexed signal by incorporating the predefined known responses of system hardware and their errors. We compare our estimator against current channel estimators for different phased-array configurations and propagation channels. By accounting for these known responses of system hardware, our estimator provides an order of magnitude reduction of the standard deviation of the error vector magnitude and a bit error rate that is half that of the other estimators.
Citation
URSI Radio Science Letters
Pub Type
Others

Download Paper

https://doi.org/10.46620/22-0006
Local Download

Keywords

Channel estimator, Fifth-generation mobile communication, Millimeter-wave communication, Monte Carlo algorithm, Orthogonal frequency-division multiplexing
Advanced communications

Citation

Weiss, A. , Elsherbeni, A. , Quimby, J. and Rezac, J. (2022), Monte Carlo Augmented Channel Estimator, URSI Radio Science Letters, [online], https://doi.org/10.46620/22-0006, https://tsapps.nist.gov/publication/get_pdf.cfm?pub_id=934435 (Accessed October 11, 2025)

Issues

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Created March 3, 2022, Updated November 29, 2022
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