Results 31 to 40 of about 2,749,514 (184)

STAP Based on Toeplitz Covariance Matrix Reconstruction for Airborne Radar

open access: yesMathematical Problems in Engineering, 2020
We consider the problem of clutter covariance matrix (CCM) estimation for space-time adaptive processing (STAP) radar in the small sample. In this paper, a fast efficient algorithm for CCM reconstruction is proposed to overcome this shortcoming for the linear structure.
Mingxin Liu   +4 more
openaire   +1 more source

Robust Range Ambiguous Deceptive Target Suppression Based on Covariance Matrix Reconstruction

open access: yesRemote Sensing, 2021
When the deceptive targets are in the ambiguious range bin but are received at the same range gate with the desired target by the array, the traditional multiple-input multiple-output (MIMO) radar is not able to discriminate between them.
Zhuang Xie   +4 more
doaj   +1 more source

Covariance Matrix Reconstruction via Residual Noise Elimination and Interference Powers Estimation for Robust Adaptive Beamforming

open access: yesIEEE Access, 2019
Recently, a number of robust adaptive beamforming (RAB) methods based on Capon power spectrum estimator integrated over a specific region for covariance matrix reconstruction have been proposed.
Xingyu Zhu, Zhongfu Ye, Xu Xu, Rui Zheng
doaj   +1 more source

Minimum Variance Beamforming Based on Covariance Matrix Reconstruction Using Orthogonal Vectors [PDF]

open access: yesمدیریت مهندسی و رایانش نرم, 2023
Minimum Variance Beamforming methods, have a weak performance in situation where error is available in covariance matrix estimation of noise and interference.
Saman Rezaeizadeh, Mehdi Bekrani
doaj  

Multiple-Toeplitz Matrices Reconstruction Algorithm for DOA Estimation of Coherent Signals

open access: yesIEEE Access, 2019
In this paper, a new direction-of-arrival (DOA) estimation method based on multiple Toeplitz matrices reconstruction is proposed for coherent narrowband signals with a uniform linear array (ULA).
Wei Zhang   +3 more
doaj   +1 more source

Covariance matrix estimation with heterogeneous samples [PDF]

open access: yes, 2008
We consider the problem of estimating the covariance matrix Mp of an observation vector, using heterogeneous training samples, i.e., samples whose covariance matrices are not exactly Mp.
Bidon, Stéphanie   +2 more
core   +1 more source

Direction-of-Arrival Estimation in Coprime Array Using the ESPRIT-Based Method

open access: yesSensors, 2019
Coprime arrays have shown potential advantages for direction-of-arrival (DOA) estimation by increasing the number of degrees-of-freedom in the difference coarray domain with fewer physical sensors.
Zhen Meng, Weidong Zhou
doaj   +1 more source

Robust adaptive beamforming method based on desired signal steering vector estimation and interference-Plus-noise covariance matrix reconstruction

open access: yesThe Journal of Engineering, 2019
Here, the authors propose a robust adaptive beamforming method based on desired signal steering vector estimation and interference-plus-noise covariance matrix reconstruction, so as to attenuate the influences of the desired signal steering vector ...
Junsheng Huang, Hongtao Su, Yang Yang
doaj   +1 more source

Adaptive Beamforming for Passive Synthetic Aperture with Uncertain Curvilinear Trajectory

open access: yesRemote Sensing, 2021
Recently, numerous reconstruction-based adaptive beamformers have been proposed, which can improve the quality of imaging or localization in the application of passive synthetic aperture (PSA) sensing.
Peng Chen, Long Zuo, Wei Wang
doaj   +1 more source

Phylogenetic Analysis of Phenotypic Covariance Structure. II. Reconstructing Matrix Evolution [PDF]

open access: yesEvolution, 1997
A modified minimum evolution approach is used to estimate covariance matrices for hypothetical ancestors. Branch lengths are calculated as the mean disparity in corresponding ancestor-descendent covariances. Branches are longest leading to terminal populations and subspecies, while interspecific branches are relatively short, indicating a general ...
openaire   +2 more sources

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