A Inverted-Wishart Distribution Approach for the Noise Covariance Matrix Estimation Applied to Target Tracking Problems

Noise Covariance Matrix ◽

Matrix Estimation ◽

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 ◽

Cited By ~ 5

Author(s):

Clément Magnant ◽

Audrey Giremus ◽

Eric Grivel ◽

Laurent Ratton ◽

Bernard Joseph

Keyword(s):

Target Tracking ◽

Covariance Matrix ◽

Dynamic State ◽

Parametric Methods ◽

Noise Covariance Matrix ◽

Matrix Estimation ◽

Noise Covariance ◽

Non Parametric

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 ◽

Cited By ~ 2

Author(s):

Mohamed Lassaad Ammari ◽

Paul Fortier ◽

Mohamad El Khaled

Keyword(s):

Covariance Matrix ◽

Mimo Systems ◽

Training Design ◽

Noise Covariance Matrix ◽

Matrix Estimation ◽

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 ◽

Noise Covariance Matrix ◽

Matrix Estimation ◽

Proceedings of the 2000 IEEE Sensor Array and Multichannel Signal Processing Workshop. SAM 2000 (Cat. No.00EX410) ◽

Vector Viterbi algorithm with structured noise covariance matrix estimation for smart antennas

10.1109/sam.2000.878047 ◽

2002 ◽

Author(s):

K. Rajesh

Keyword(s):

Covariance Matrix ◽

Viterbi Algorithm ◽

Smart Antennas ◽

Noise Covariance Matrix ◽

Matrix Estimation ◽

Vehicular Technology Conference Fall 2000. IEEE VTS Fall VTC2000. 52nd Vehicular Technology Conference (Cat. No.00CH37152) ◽

Interference-plus-noise covariance matrix estimation for adaptive space-time processing of DS/CDMA signals

10.1109/vetecf.2000.883257 ◽

2002 ◽

Cited By ~ 5

Author(s):

I.N. Psaromiligkos ◽

S.N. Batalama

Keyword(s):

Covariance Matrix ◽

Space Time ◽

Noise Covariance Matrix ◽

Time Processing ◽

Matrix Estimation ◽

Generalized Subspace Snoring Signal Enhancement Based on Noise Covariance Matrix Estimation

Circuits Systems and Signal Processing ◽

10.1007/s00034-020-01623-3 ◽

2021 ◽

Author(s):

Li Ding ◽

Jianxin Peng ◽

Yanmei Jiang ◽

Lijuan Song

Keyword(s):

Covariance Matrix ◽

Signal Enhancement ◽

Noise Covariance Matrix ◽

Matrix Estimation ◽

Noise covariance matrix estimation with subspace model identification for Kalman filtering

International Journal of Adaptive Control and Signal Processing ◽

10.1002/acs.3213 ◽

2021 ◽

Author(s):

Vincent Mussot ◽

Guillaume Mercère ◽

Thibault Dairay ◽

Vincent Arvis ◽

Jérémy Vayssettes

Keyword(s):

Covariance Matrix ◽

Kalman Filtering ◽

Model Identification ◽

Noise Covariance Matrix ◽

Matrix Estimation ◽

Noise covariance matrix estimation in navigation and tracking: Impact of linearisation error

2017 IEEE 56th Annual Conference on Decision and Control (CDC) ◽

10.1109/cdc.2017.8263782 ◽

2017 ◽

Author(s):

Oliver Kost ◽

Jindrich Dunik ◽

Ondrej Straka

Keyword(s):

Covariance Matrix ◽

Noise Covariance Matrix ◽

Matrix Estimation ◽

A new noise covariance matrix estimation method of Kalman filter for satellite clock errors

Acta Physica Sinica ◽

10.7498/aps.64.080201 ◽

2015 ◽

Vol 64 (8) ◽

pp. 080201

Author(s):

Lin Xu ◽

Luo Zhi-Cai

Keyword(s):

Kalman Filter ◽

Covariance Matrix ◽

Estimation Method ◽

Satellite Clock ◽

Noise Covariance Matrix ◽

Matrix Estimation ◽

Noise Covariance ◽

Satellite Clock Errors

Noise Covariance Matrix Estimation for Rotating Microphone Arrays

IEEE/ACM Transactions on Audio Speech and Language Processing ◽

10.1109/taslp.2018.2882307 ◽

2019 ◽

Vol 27 (3) ◽

pp. 519-530

Author(s):

Alastair H. Moore ◽

Wei Xue ◽

Patrick A. Naylor ◽

Mike Brookes

Keyword(s):

Covariance Matrix ◽

Microphone Arrays ◽

Noise Covariance Matrix ◽

Matrix Estimation ◽