Model-based deep learning
Signal processing, communications, and control have traditionally relied on classical
statistical modeling techniques. Such model-based methods utilize mathematical …
statistical modeling techniques. Such model-based methods utilize mathematical …
Three more decades in array signal processing research: An optimization and structure exploitation perspective
M Pesavento, M Trinh-Hoang… - IEEE Signal Processing …, 2023 - ieeexplore.ieee.org
The signal processing community is currently witnessing the emergence of sensor array
processing and direction-of-arrival (DoA) estimation in various modern applications, such as …
processing and direction-of-arrival (DoA) estimation in various modern applications, such as …
SubspaceNet: Deep learning-aided subspace methods for DoA estimation
Direction of arrival (DoA) estimation is a fundamental task in array processing. A popular
family of DoA estimation algorithms are subspace methods, which operate by dividing the …
family of DoA estimation algorithms are subspace methods, which operate by dividing the …
Deep root MUSIC algorithm for data-driven DoA estimation
Direction of arrival (DoA) estimation is a fundamental task in array processing. A popular
family of DoA estimation algorithms are subspace methods, which operate by dividing the …
family of DoA estimation algorithms are subspace methods, which operate by dividing the …
Model-driven deep neural network for enhanced AoA estimation using 5G gNB
High-accuracy positioning has become a fundamental enabler for intelligent connected
devices. Nevertheless, the present wireless networks still rely on model-driven approaches …
devices. Nevertheless, the present wireless networks still rely on model-driven approaches …
DA-MUSIC: Data-driven DoA estimation via deep augmented MUSIC algorithm
Direction of arrival (DoA) estimation of multiple signals is pivotal in sensor array signal
processing. A popular multi-signal DoA estimation method is the multiple signal …
processing. A popular multi-signal DoA estimation method is the multiple signal …
An improved aoa estimation algorithm for ble system in the presence of phase noise
D Xiao, S Hu, K Kang, H Qian - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Location-based service (LBS) provides users with personalized experience. With the latest
Bluetooth low energy (BLE) technology, switched antenna array and constant tone …
Bluetooth low energy (BLE) technology, switched antenna array and constant tone …
Learning to estimate without bias
The Gauss–Markov theorem states that the weighted least squares estimator is a linear
minimum variance unbiased estimation (MVUE) in linear models. In this paper, we take a …
minimum variance unbiased estimation (MVUE) in linear models. In this paper, we take a …
Small Sample Coherent DOA Estimation Method Based on S2S Neural Network Meta Reinforcement Learning
Z Wu, J Wang - Sensors, 2023 - mdpi.com
Aiming at the existing Direction of Arrival (DOA) methods based on neural network, a large
number of samples are required to achieve signal-scene adaptation and accurate angle …
number of samples are required to achieve signal-scene adaptation and accurate angle …
Feature engineering for DOA estimation using a convolutional neural network, for sparse arrays
P Kulkarni, PP Vaidyanathan - 2021 55th Asilomar Conference …, 2021 - ieeexplore.ieee.org
In the past few years, there has been an emerging use of deep neural networks for
improving the direction of arrival (DOA) estimation performance. This paper demonstrates …
improving the direction of arrival (DOA) estimation performance. This paper demonstrates …