May 28, 2022 · In this paper, a deep neural network method based on angle information (ALNN) is proposed to solve the problem of LOS/NLOS environment ...
ALNN‐based LOS/NLOS identification in 3D millimetre wave channel
onlinelibrary.wiley.com › doi › cmu2
May 28, 2022 · In this paper, an LOS/NLOS environment identification method is proposed based on angle information learning. Specifically, a neural network ...
In this paper, an LOS/NLOS environment identification method is proposed based on angle information learning. Specifically, a neural network named ALNN (angle ...
May 28, 2022 · In this paper, an LOS/NLOS environment identification method is proposed based on angle information learning. Specifically, a neural network ...
This paper proposes an efficient method based on supervised learning to distinguish more accurately between the propagated FOMP and HOMP of millimeter-Wave ...
In this paper, an LOS/NLOS environment identification method is proposed based on angle information learning. Specifically, a neural network named ALNN (angle ...
The structure of ALNN based LOS/NLOS identification method in the 3D millimetre wave channel containing two stages: collecting angle data and learning angle ...
A millimeter wave (mmWave) LOS/NLOS identification scheme utilizing mean-shift (MS) clustering algorithm and a 3D angle-of-arrival (AOA) localization ...
Missing: ALNN- | Show results with:ALNN-
Sep 1, 2019 · In this paper, we propose a millimeter wave (mmWave) LOS/NLOS identification scheme utilizing mean-shift (MS) clustering algorithm and a 3D ...
dblp: ALNN-based LOS/NLOS identification in 3D millimetre wave ...
192.76.146.204 › iet-com › LvLFL22
Bibliographic details on ALNN-based LOS/NLOS identification in 3D millimetre wave channel.