A Deep Learning Approach to Position Estimation from Channel Impulse Responses †
-
Externally hosted supplementary file 1
Link: https://www.mad.tf.fau.de/files/2018/07/Convolutional-Neural-Networks-for-Position-Estimation-in-TDoA-based-Locating-Systems.pdf
Description: Convolutional Neural Networks for Position Estimation in TDoA-based Locating Systems
Niitsoo, A.; Edelhäußer, T.; Eberlein, E.; Hadaschik, N.; Mutschler, C. A Deep Learning Approach to Position Estimation from Channel Impulse Responses. Sensors 2019, 19, 1064. https://doi.org/10.3390/s19051064
Niitsoo A, Edelhäußer T, Eberlein E, Hadaschik N, Mutschler C. A Deep Learning Approach to Position Estimation from Channel Impulse Responses. Sensors. 2019; 19(5):1064. https://doi.org/10.3390/s19051064
Chicago/Turabian StyleNiitsoo, Arne, Thorsten Edelhäußer, Ernst Eberlein, Niels Hadaschik, and Christopher Mutschler. 2019. "A Deep Learning Approach to Position Estimation from Channel Impulse Responses" Sensors 19, no. 5: 1064. https://doi.org/10.3390/s19051064