Multi-UAV cooperative localization for marine targets based on weighted subspace fitting in SAGIN environment
As an indispensable part of the Internet of Vehicles (IoV), unmanned aerial vehicles (UAVs)
can be deployed for target positioning and navigation in the space–air–ground-integrated …
can be deployed for target positioning and navigation in the space–air–ground-integrated …
Deep learning-based automatic modulation recognition method in the presence of phase offset
Automatic modulation recognition (AMR) plays an important role in various communications
systems. It has the ability of adaptive modulation and can adapt to various complex …
systems. It has the ability of adaptive modulation and can adapt to various complex …
Robust weighted subspace fitting for DOA estimation via block sparse recovery
In this letter, a novel robust block sparse recovery algorithm by using the weighted subspace
fitting (WSF) is proposed to deal with the direction-of-arrival (DOA) problem under the …
fitting (WSF) is proposed to deal with the direction-of-arrival (DOA) problem under the …
A novel block sparse reconstruction method for DOA estimation with unknown mutual coupling
X Zhang, T Jiang, Y Li… - IEEE Communications …, 2019 - ieeexplore.ieee.org
In this letter, we consider the direction-of-arrival (DOA) estimation in the presence of
unknown mutual coupling in application to uniform linear arrays (ULAs). A novel method is …
unknown mutual coupling in application to uniform linear arrays (ULAs). A novel method is …
Robust DoA estimation using denoising autoencoder and deep neural networks
As one of the most critical technology in array signal processing, direction of arrival (DoA)
estimation has received a great deal of attention in many areas. Traditional methods perform …
estimation has received a great deal of attention in many areas. Traditional methods perform …
Robust DOA estimation against mutual coupling with nested array
Z Zheng, C Yang, WQ Wang… - IEEE Signal Processing …, 2020 - ieeexplore.ieee.org
In this letter, we focus on the problem of direction-of-arrival (DOA) estimation with a nested
array in the presence of unknown mutual coupling. Firstly, the measurement model of the …
array in the presence of unknown mutual coupling. Firstly, the measurement model of the …
Improved DFT algorithm for 2D DOA estimation based on 1D nested array motion
J Li, P Ma, X Zhang, G Zhao - IEEE Communications Letters, 2020 - ieeexplore.ieee.org
In this letter, two-dimensional (2D) direction of arrival (DOA) estimation using one-
dimensional (1D) nested array motion is studied, and an improved Discrete Fourier …
dimensional (1D) nested array motion is studied, and an improved Discrete Fourier …
Direction finding in bistatic MIMO radar with direction-dependent mutual coupling
J Wu, F Wen, J Shi - IEEE Communications Letters, 2021 - ieeexplore.ieee.org
Mutual coupling (MC) effect exists extensively in sensor array, and it will adversely affect the
direction finding in multiple-input multiple-output (MIMO) radar. In the previous works, the …
direction finding in multiple-input multiple-output (MIMO) radar. In the previous works, the …
Coverage control algorithm-based adaptive particle swarm optimization and node slee** in wireless multimedia sensor networks
Z Jiao, L Zhang, M Xu, C Cai, J **ong - IEEE Access, 2019 - ieeexplore.ieee.org
Wireless multimedia sensor networks (WMSNs) are widely used in various fields where
coverage control is a critical difficulty because multiple requirements need to be considered …
coverage control is a critical difficulty because multiple requirements need to be considered …
A computationally economic location algorithm for bistatic EVMS-MIMO radar
T Liu, F Wen, J Shi, Z Gong, H Xu - IEEE Access, 2019 - ieeexplore.ieee.org
In this paper, we investigated into the problem of target location in a bistatic multiple-input
multiple-output (MIMO), whose transmit antennas and receive antennas are electromagnetic …
multiple-output (MIMO), whose transmit antennas and receive antennas are electromagnetic …