Time of flight estimation using a convolutional neural network

Time of flight estimation using a convolutional neural network

Embodiments herein relate to using a convolutional neural network (CNN) for time-of-flight estimation in a wireless communication system. A wireless device may receive, from a remote device, wireless communications including a first transmission time value associated with the transmission of the wir...

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Hauptverfasser: Feinmesser, Yoav, Sagiv, Barak, Landau, Ariel, Vitory, Rafi
Format: Patent
Sprache:eng
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ELECTRIC COMMUNICATION TECHNIQUE
ELECTRICITY
TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHICCOMMUNICATION
WIRELESS COMMUNICATIONS NETWORKS
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creator Feinmesser, Yoav
Sagiv, Barak
Landau, Ariel
Vitory, Rafi
description Embodiments herein relate to using a convolutional neural network (CNN) for time-of-flight estimation in a wireless communication system. A wireless device may receive, from a remote device, wireless communications including a first transmission time value associated with the transmission of the wireless communications. The wireless device may perform a coarse time-of-arrival (TOA) estimation on the wireless communications received from the remote device. The coarse TOA estimation may be used to generate an estimated impulse response, which may be input to a CNN associated with the wireless device to calculate a line-of-sight estimate. The wireless device may determine a range between the wireless device and the remote device based on the transmission time value and the line-of-sight estimate.
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subjects ELECTRIC COMMUNICATION TECHNIQUE
ELECTRICITY
TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHICCOMMUNICATION
WIRELESS COMMUNICATIONS NETWORKS
title Time of flight estimation using a convolutional neural network
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