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A review of sparse recovery algorithms
EC Marques, N Maciel, L Naviner, H Cai, J Yang - IEEE access, 2018 - ieeexplore.ieee.org
Nowadays, a large amount of information has to be transmitted or processed. This implies
high-power processing, large memory density, and increased energy consumption. In …
high-power processing, large memory density, and increased energy consumption. In …
Soft information for localization-of-things
Location awareness is vital for emerging Internet-of-Things applications and opens a new
era for Localization-of-Things. This paper first reviews the classical localization techniques …
era for Localization-of-Things. This paper first reviews the classical localization techniques …
DOA estimation exploiting sparse array motions
This paper utilizes sparse array motion to increase the numbers of achievable both degrees
of freedom (DOFs) and consecutive lags in direction-of-arrival (DOA) estimation problems …
of freedom (DOFs) and consecutive lags in direction-of-arrival (DOA) estimation problems …
Off-grid DOA estimation using sparse Bayesian learning in MIMO radar with unknown mutual coupling
In the practical radar with multiple antennas, the antenna imperfections degrade the system
performance. In this paper, the problem of estimating the direction of arrival (DOA) in a …
performance. In this paper, the problem of estimating the direction of arrival (DOA) in a …
A high precision indoor positioning system of BLE AOA based on ISSS algorithm
Q Wan, T Wu, K Zhang, X Liu, K Cheng, J Liu, J Zhu - Measurement, 2024 - Elsevier
This paper investigates the Bluetooth direction finding technique and combines it with the
improved signal subtraction subspace (ISSS) algorithm for precise indoor positioning. First …
improved signal subtraction subspace (ISSS) algorithm for precise indoor positioning. First …
Off-grid error calibration for DOA estimation based on sparse Bayesian learning
H Fu, F Dai, L Hong - IEEE Transactions on Vehicular …, 2023 - ieeexplore.ieee.org
Compared with the traditional subspace-based methods, sparse signal recovery (SSR)
based methods have obvious advantages in performing the direction of arrival (DOA) …
based methods have obvious advantages in performing the direction of arrival (DOA) …
Real-valued sparse Bayesian learning for off-grid direction-of-arrival (DOA) estimation in ocean acoustics
A Das - IEEE Journal of Oceanic Engineering, 2020 - ieeexplore.ieee.org
Real-valued sparse representation methods have recently become popular for directions of
arrival (DOAs) of unknown and possibly correlated signals using an array of sensors. Such a …
arrival (DOAs) of unknown and possibly correlated signals using an array of sensors. Such a …
Direction-of-arrival estimation of coherent signals for uniform linear antenna arrays with mutual coupling in unknown nonuniform noise
Y Fang, S Zhu, Y Gao, L Lan, C Zeng… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
We recently proposed a direction-of-arrival (DOA) estimation method for the coexistence of
uncorrelated and coherent signals, which is related to the uniform linear antenna arrays with …
uncorrelated and coherent signals, which is related to the uniform linear antenna arrays with …
Super-resolution TOA and AOA estimation for OFDM radar systems based on compressed sensing
M Wu, C Hao - IEEE Transactions on Aerospace and Electronic …, 2022 - ieeexplore.ieee.org
This article presents a compressed sensing-based time of arrival (TOA) and angle-of-arrival
(AOA) estimation algorithm for orthogonal frequency division multiplexing (OFDM) radar …
(AOA) estimation algorithm for orthogonal frequency division multiplexing (OFDM) radar …
A new low complexity angle of arrival algorithm for 1D and 2D direction estimation in MIMO smart antenna systems
This paper proposes a new low complexity angle of arrival (AOA) method for signal direction
estimation in multi-element smart wireless communication systems. The new method …
estimation in multi-element smart wireless communication systems. The new method …