DeepMTL Pro: Deep Learning Based Multiple Transmitter Localization and Power Estimation

Pervasive and Mobile Computing(2022)

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摘要
In this paper, we address the problem of Multiple Transmitter Localization (MTL). MTL is to determine the locations of potential multiple transmitters in a field, based on readings from a distributed set of sensors. In contrast to the widely studied single transmitter localization problem, the MTL problem has only been studied recently in a few works. MTL is of great significance in many applications wherein intruders may be present. E.g., in shared spectrum systems, detection of unauthorized transmitters and estimating their power are imperative to efficient utilization of the shared spectrum.
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关键词
Multiple Transmitter Localization,Multiple Transmit Power Estimation,Wireless Sensor Network,Deep learning,Convolutional Neural Network,Image-to-image Translation,Object Detection
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