Abstract
In the distance estimation scheme using Frequency-Modulated-Continuous-Wave (FMCW) radar, the frequency difference, which was caused by the time delay of the received signal reflected from the target, is calculated to estimate the distance information of the target. In this paper, we propose a distance estimation scheme exploiting the deep learning technology of artificial neural network to improve the accuracy of distance estimation over the conventional Fast Fourier Transform (FFT) Max value index-based distance estimation scheme. The performance of the proposed scheme is compared with that of the conventional scheme through the experiments evaluating the accuracy of distance estimation. The average estimated distance error of the proposed scheme was 0.069 m, while that of the conventional scheme was 1.9 m.
Highlights
Along with the recent fourth industrial revolution, there has been a surge of interest and demand for indoor positioning systems for the prevention of safety accidents for workers and evacuation in the event of building fires, collapses, and disasters
In the proposed deep learningbased distance estimation scheme, different patterns can be found in the received data, and the accurate distance can be estimated
We proposed a distance estimation scheme exploiting the deep learning technology of artificial neural network to improve the accuracy of distance estimation over the conventional Fast Fourier Transform (FFT) Max value index-based distance estimation scheme
Summary
Along with the recent fourth industrial revolution, there has been a surge of interest and demand for indoor positioning systems for the prevention of safety accidents for workers and evacuation in the event of building fires, collapses, and disasters. Deep Learning-Based Indoor Distance Estimation Scheme Using FMCW Radar. In the distance estimation scheme using FMCW radar, the frequency difference that was caused by the time delay of the received signal reflected from the target is calculated to estimate the distance information of the target [11].
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