Angle-of-arrival sensing using a machine learning enhanced amplitude-only system

GR Friedrichs, MA Elmansouri… - IEEE Sensors …, 2023 - ieeexplore.ieee.org
A low-cost, low-complexity amplitude-only angle-of-arrival (AoA) sensor system is
experimentally demonstrated. The sensor embeds a machine learning (ML)-in-the-loop …

Data-Driven Optimization Strategies for Tunable RF Systems

M Pirrone, E Dall'Anese… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
The analysis and application of three different optimization algorithms are presented for
tunable RF systems along with a comparison of the different tuning control schemes. These …

Wideband Machine Learning-Based Amplitude-Only Direction Finding with Spiral Antennas

GR Friedrichs, MA Elmansouri… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
A method for performing amplitude-only direction finding (DF) with a multiarm spiral antenna
is demonstrated over multioctave (1.5–6 GHz) bandwidth, with 360° coverage in azimuth …

Watson–Watt Direction Finding With Transfer Learning-Based Calibration

GR Friedrichs, TJ Prince… - IEEE Antennas and …, 2023 - ieeexplore.ieee.org
A compression of an entire four-element Watson-Watt direction finding (DF) process,
including calibration, into a single neural network based system is introduced. First, WW DF …

Ultra-Wideband Frequency-Invariant Beamforming Using a Generalized Nesting Array

T Yu, JM Heo, C Park, YK Jeon… - IEEE Open Journal of …, 2024 - ieeexplore.ieee.org
This paper proposes an ultra-wideband frequency-invariant beamforming (FIB) using a
generalized nesting array. To implement ultra-wideband (9: 1 bandwidth ratio) FIB with a …

Optimizing Machine Learning Algorithms for Dynamic Direction Finding

JM Willis, SB Venkatakrishnan… - 2023 United States …, 2023 - ieeexplore.ieee.org
We build, analyze, and compare six machine learning algorithms for direction-finding on
dynamic systems. Each model is optimized to decrease its computational complexity to …

Compact Amplitude-Only Direction Finding Based on a Deep Neural Network with a Single-Patch Multi-Beam Antenna

SG Cha, D Kim, YJ Yoon - Applied Sciences, 2023 - mdpi.com
In this paper, a compact direction-finding system based on a deep neural network (DNN)
with a single-patch multi-beam antenna is proposed. To achieve multiple beams, the patch …

Modeling of Biomedical Antennas through Forecasting DNN for the Enlarged Bandwidth

L Kouhalvandi, M Alibakhshikenari… - 2024 17th United …, 2024 - ieeexplore.ieee.org
Recently, wireless medical technologies are growing day-by-day resulting in complex
structures and topologies. Hence, advanced methods are required for designing and …

Machine Learning Enhancement of a Luneburg Lens Amplitude-Only Direction-Finding Antenna

TJ Prince, GR Friedrichs… - … on Antennas and …, 2023 - ieeexplore.ieee.org
A 5-element cylindrical Luneburg lens antenna, operating at 27.5 GHz, is proposed for a
receive-only application. The array is poised to be integrated with amplitude-only receivers …

Fast Angle of Arrival Estimation on Rotating Platforms through Machine Learning

JM Willis, SB Venkatakrishnan… - 2022 IEEE USNC-URSI …, 2022 - ieeexplore.ieee.org
This paper presents a machine learning algorithm for direction-finding using a tracking
system on a platform. The introduced algorithm reduces computational complexity and …