A robust and efficient algorithm for coprime array adaptive beamforming
Coprime array offers a larger array aperture than uniform linear array with the same number
of physical sensors, and has a better spatial resolution with increased degrees of freedom …
of physical sensors, and has a better spatial resolution with increased degrees of freedom …
Direction-of-arrival estimation with coarray ESPRIT for coprime array
C Zhou, J Zhou - Sensors, 2017 - mdpi.com
A coprime array is capable of achieving more degrees-of-freedom for direction-of-arrival
(DOA) estimation than a uniform linear array when utilizing the same number of sensors …
(DOA) estimation than a uniform linear array when utilizing the same number of sensors …
Coprime array adaptive beamforming with enhanced degrees-of-freedom capability
In this paper, we propose a novel coprime array adaptive beamforming algorithm based on
virtual array spatial spectrum estimation to enhance the degrees-of-freedom (DOFs) …
virtual array spatial spectrum estimation to enhance the degrees-of-freedom (DOFs) …
Coarray interpolation-based coprime array DOA estimation via covariance matrix reconstruction
Coprime arrays are capable of achieving an increased number of degrees-of-freedom by
operating the coarray signals. However, their non-uniform coarrays prevent the full utilization …
operating the coarray signals. However, their non-uniform coarrays prevent the full utilization …
Toeplitz matrix reconstruction of interpolated coprime virtual array for DOA estimation
A coprime array enables an increased number of degrees-of-freedom by deriving a non-
uniform virtual array. However, existing work such as spatial smoothing fails to utilize all of …
uniform virtual array. However, existing work such as spatial smoothing fails to utilize all of …
Real-time cooperative analytics for ambient noise tomography in sensor networks
The transformative integration of sensor networks and geophysical imaging techniques
enables the creation of a system to monitor and analyze seismic data in real time as well as …
enables the creation of a system to monitor and analyze seismic data in real time as well as …
A gossip learning approach to urban trajectory nowcasting for anticipatory ran management
In future radio access networks, machine learning (ML) based strategies for short-term
forecasting of vehicular trajectories will be key for anticipatory resource allocation and …
forecasting of vehicular trajectories will be key for anticipatory resource allocation and …
Privacy-preserving distributed analytics in fog-enabled IoT systems
L Zhao - Sensors, 2020 - mdpi.com
The Internet of Things (IoT) has evolved significantly with advances in gathering data that
can be extracted to provide knowledge and facilitate decision-making processes. Currently …
can be extracted to provide knowledge and facilitate decision-making processes. Currently …
Underdetermined DOA estimation of quasi-stationary signals using a partly-calibrated array
B Wang, W Wang, Y Gu, S Lei - Sensors, 2017 - mdpi.com
Quasi-stationary signals have been widely found in practical applications, which have time-
varying second-order statistics while staying static within local time frames. In this paper, we …
varying second-order statistics while staying static within local time frames. In this paper, we …