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Monte Carlo Augmented Channel Estimator



Alec Weiss, Atef Elsherbeni, Jeanne Quimby, Jake Rezac


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.
URSI Radio Science Letters


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


Weiss, A. , Elsherbeni, A. , Quimby, J. and Rezac, J. (2022), Monte Carlo Augmented Channel Estimator, URSI Radio Science Letters, [online],, (Accessed May 29, 2024)


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Created March 3, 2022, Updated November 29, 2022