Deep-learning-assisted robust detection techniques for a chipless RFID sensor tag
N Rather, RBVB Simorangkir… - IEEE Transactions …, 2023 - ieeexplore.ieee.org
In this article, we present a new approach for robust reading of identification (ID) and sensor
data from chipless radio frequency ID (CRFID) sensor tags. For the first time, machine …
data from chipless radio frequency ID (CRFID) sensor tags. For the first time, machine …
[HTML][HTML] Direction-of-Arrival (DOA) Estimation Based on Real Field Measurements and Modified Linear Regression
LA Flores, I Lomas, L Guachalá… - Engineering …, 2024 - mdpi.com
This study applied modified linear regression in machine learning (ML) to predict the
direction of arrival (DoA) in cellular networks using field measurements and radiofrequency …
direction of arrival (DoA) in cellular networks using field measurements and radiofrequency …
[PDF][PDF] Deep learning assisted robust detection techniques for a chipless
In this article, we present a new approach for robust reading of identification (ID) and sensor
data from chipless radio frequency ID (CRFID) sensor tags. For the first time, machine …
data from chipless radio frequency ID (CRFID) sensor tags. For the first time, machine …
System level analysis of computational channel characterization using compressive surfaces
O Yurduseven, MAB Abbasi… - 2023 17th European …, 2023 - ieeexplore.ieee.org
Direction of arrival (DoA) estimation plays a crucial role in channel characterization and is a
critical step to execute the necessary beam-shaping operations needed from antennas …
critical step to execute the necessary beam-shaping operations needed from antennas …