Results 41 to 50 of about 2,749,514 (184)

DOA Estimation under GNSS Spoofing Attacks Using a Coprime Array: From a Sparse Reconstruction Viewpoint

open access: yesRemote Sensing, 2022
The antispoofing method using the direction-of-arrival (DOA) feature can effectively improve the application security of the global navigation satellite system (GNSS) receivers.
Yuqing Zhao   +3 more
doaj   +1 more source

A Full Loading-Based MVDR Beamforming Method by Backward Correction of the Steering Vector and Reconstruction of the Covariance Matrix

open access: yesApplied Sciences, 2022
In order to improve the performance of the diagonal loading-based minimum variance distortionless response (MVDR) beamformer, a full loading-based MVDR beamforming method is proposed in this paper. Different from the conventional diagonal loading methods,
Jing Zhou, Changchun Bao
doaj   +1 more source

Automatic positive semidefinate HAC covariance matrix and GMM estimation [PDF]

open access: yes, 2005
This paper proposes a new class of heteroskedastic and autocorrelation consistent (HAC) covariance matrix estimators. The standard HAC estimation method reweights estimators of the autocovariances.
Smith, Richard J.
core   +1 more source

Reciprocity evaluation based adaptive CCM reconstruction in FDD multi-antenna systems

open access: yesJournal of Information and Intelligence, 2023
In view of the difficulty of obtaining downlink channel state information, partial reciprocity based channel covariance matrix (CCM) reconstruction has attracted a lot of attention in frequency division duplex (FDD) multi-antenna systems. Taking both the
Fangyuan Liao   +5 more
doaj   +1 more source

Robust covariance estimation for data fusion from multiple sensors [PDF]

open access: yes, 2011
This paper addresses the robust estimation of a covariance matrix to express uncertainty when fusing information from multiple sensors. This is a problem of interest in multiple domains and applications, namely, in robotics.
Lazarus, Samuel B.   +5 more
core   +1 more source

Adaptive Beamformer in Hybrid Massive MIMO Using Reconstructed Spatial Covariance Matrix

open access: yesWireless Personal Communications, 2022
Abstract In order to compensate for high path loss, massive multiple-input multiple-output (MIMO) has been adopted in wireless communication systems operating at millimeter-wave (mmWave) bands. In particular, analog beamformer has been employed in hybrid massive MIMO systems to reduce the cost caused by radio frequency (RF) chains. However, due
Zihao Fu   +5 more
openaire   +2 more sources

Covariance matrix estimation methods for constrained portfolio optimization in a South African setting [PDF]

open access: yes, 2010
One of the major topics of concern in Modern Portfolio Theory is portfolio optimization which is centred on the mean-variance framework. In order for this framework to be implemented, esti- mated parameters (covariance matrix for the constrained portfo ...
Madume, Jaison Pezisai
core   +1 more source

Fast Underdetermined DOA Estimation Based on Generalized MRA via Original Covariance Vector Sparse Reconstruction

open access: yesIEEE Access, 2021
Minimum redundancy array (MRA) has the maximum aperture with continuous difference co-array among various sparse arrays with same number of physical sensors, but it is hard to calculate the sensor position of MRA and realize array design by using MRA. To
Geng Wang   +4 more
doaj   +1 more source

Robust STAP Against Unknown Mutual Coupling Based on Middle Subarray Clutter Covariance Matrix Reconstruction

open access: yesIEEE Access, 2019
The presence of mutual coupling usually causes space-time steering vector distortion for space-time adaptive processing (STAP) in airborne radar, thereby causing significant performance degradation.
Zhihui Li   +4 more
doaj   +1 more source

The information matrix test with bootstrap-based covariance matrix estimation. [PDF]

open access: yes
We propose an information matrix test in which the covariance matrix of the vector of indicators is estimated using the parametric bootstrap. Monte Carlo results and heuristic arguments show that its small sample performance is comparable with that of ...
Hoorelbeke, Dirk, Dhaene, Geert
core   +2 more sources

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