The error in the optimum gain of an antenna array arising from errors in the measured noise covariance matrix

Journal of Sound and Vibration ◽

10.1016/s0022-460x(86)80173-0 ◽

1986 ◽

Vol 106 (1) ◽

pp. 45-51 ◽

Author(s):

J.S. Byrnes ◽

E.J. Sullivan

Keyword(s):

Antenna Array ◽

Covariance Matrix ◽

Noise Covariance Matrix ◽

Noise Covariance

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Effects of Estimated Noise Covariance Matrix in Optimal Signal Detection.

10.21236/ada162796 ◽

1985 ◽

Author(s):

C. G. Khatri ◽

C. R. Rao

Keyword(s):

Signal Detection ◽

Covariance Matrix ◽

Noise Covariance Matrix ◽

Noise Covariance ◽

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kT/C Noise: Covariance Matrix Calculation of Instationary Noise in Time-Varying Systems

AEU - International Journal of Electronics and Communications ◽

10.1078/1434-8411-00020 ◽

2001 ◽

Vol 55 (2) ◽

pp. 135-139

Author(s):

Reinhold Noé

Keyword(s):

Covariance Matrix ◽

Time Varying ◽

Noise Covariance Matrix ◽

Time Varying Systems ◽

Noise Covariance ◽

Matrix Calculation

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The fine calibration of the ultra-short baseline system with inaccurate measurement noise covariance matrix

IEEE Transactions on Instrumentation and Measurement ◽

10.1109/tim.2021.3132351 ◽

2021 ◽

pp. 1-1

Author(s):

Maodong Xia ◽

Tao Zhang ◽

Jian Wang ◽

Liang Zhang ◽

Yongyun Zhu ◽

...

Keyword(s):

Covariance Matrix ◽

Measurement Noise ◽

Short Baseline ◽

Noise Covariance Matrix ◽

Inaccurate Measurement ◽

Measurement Noise Covariance ◽

Noise Covariance ◽

Baseline System

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Bayesian non-parametric methods for dynamic state-noise covariance matrix estimation: Application to target tracking

Signal Processing ◽

10.1016/j.sigpro.2016.02.013 ◽

2016 ◽

Vol 127 ◽

pp. 135-150 ◽

Author(s):

Clément Magnant ◽

Audrey Giremus ◽

Eric Grivel ◽

Laurent Ratton ◽

Bernard Joseph

Keyword(s):

Target Tracking ◽

Covariance Matrix ◽

Dynamic State ◽

Covariance Matrix Estimation ◽

Parametric Methods ◽

Noise Covariance Matrix ◽

Matrix Estimation ◽

Noise Covariance ◽

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Online evaluation of the process noise covariance matrix for event‐based state estimators

International Journal for Numerical Methods in Engineering ◽

10.1002/nme.6131 ◽

2019 ◽

Vol 120 (2) ◽

pp. 195-208

Author(s):

Miguel Martínez‐Rey ◽

Carlos Santos ◽

Rubén Nieto ◽

Cristina Losada ◽

Felipe Espinosa

Keyword(s):

Covariance Matrix ◽

Process Noise ◽

Noise Covariance Matrix ◽

Online Evaluation ◽

State Estimators ◽

Noise Covariance ◽

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Propagating seismic noise covariance matrix estimates into acoustic impedance uncertainty

10.1190/1.2148013 ◽

2005 ◽

Author(s):

Michael K. Broadhead

Keyword(s):

Covariance Matrix ◽

Acoustic Impedance ◽

Seismic Noise ◽

Noise Covariance Matrix ◽

Noise Covariance

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Channel and Noise Covariance Matrix Estimation for MIMO Systems with Optimal Training Design

2014 IEEE 80th Vehicular Technology Conference (VTC2014-Fall) ◽

10.1109/vtcfall.2014.6965901 ◽

2014 ◽

Author(s):

Mohamed Lassaad Ammari ◽

Paul Fortier ◽

Mohamad El Khaled

Keyword(s):

Covariance Matrix ◽

Mimo Systems ◽

Covariance Matrix Estimation ◽

Training Design ◽

Noise Covariance Matrix ◽

Matrix Estimation ◽

Noise Covariance

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Using Projection Kurtosis Concentration of Natural Images for Blind Noise Covariance Matrix Estimation

2014 IEEE Conference on Computer Vision and Pattern Recognition ◽

10.1109/cvpr.2014.367 ◽

2014 ◽

Author(s):

Xing Zhang ◽

Siwei Lyu

Keyword(s):

Covariance Matrix ◽

Natural Images ◽

Covariance Matrix Estimation ◽

Noise Covariance Matrix ◽

Matrix Estimation ◽

Noise Covariance

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Robust widely linear adaptive MVDR beamformer based on interference-plus-noise covariance matrix and steering vector estimation

2015 IEEE China Summit and International Conference on Signal and Information Processing (ChinaSIP) ◽

10.1109/chinasip.2015.7230500 ◽

2015 ◽

Author(s):

Yonghua Wang ◽

Lei Huang ◽

Yunmei Shi

Keyword(s):

Covariance Matrix ◽

Noise Covariance Matrix ◽

Steering Vector ◽

Steering Vector Estimation ◽

Noise Covariance ◽

Vector Estimation ◽

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Robust adaptive beamforming with imprecise steering vector and noise covariance matrix due to finite sample size

2013 IEEE International Conference on Acoustics, Speech and Signal Processing ◽

10.1109/icassp.2013.6638366 ◽

2013 ◽

Author(s):

Mengyi Zhang ◽

Francisco Rubio ◽

Daniel P. Palomar ◽

Xavier Mestre

Keyword(s):

Sample Size ◽

Covariance Matrix ◽

Adaptive Beamforming ◽

Finite Sample ◽

Noise Covariance Matrix ◽

Steering Vector ◽

Robust Adaptive Beamforming ◽

Finite Sample Size ◽

Noise Covariance ◽

Robust Adaptive

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