Results 141 to 150 of about 1,760 (173)

Robust adaptive beamforming based on the Kalman filter

IEEE Transactions on Signal Processing, 2005
In this paper, we present a novel approach to implement the robust minimum variance distortionless response (MVDR) beamformer. This beamformer is based on worst-case performance optimization and has been shown to provide an excellent robustness against arbitrary but norm-bounded mismatches in the desired signal steering vector.
Amr El-Keyi, Thiagalingam Kirubarajan, Alex B. Gershman   +2 more
openaire   +1 more source

Robust adaptive beamforming via target tracking

IEEE Transactions on Signal Processing, 1996
The proposed robust beamformer adaptively self-corrects and tracks desired-source location errors or variations regardless of the eigenstructure of the input correlation matrix, of the array shape and nature of the noise. It only requires an order of computations of the sensors number and performs nearly as well as MUSIC in localization.
Saeed Gazor, Sofiène Affes, Yves Grenier   +2 more
openaire   +1 more source

Automatic Generalized Loading for Robust Adaptive Beamforming

IEEE Signal Processing Letters, 2009
The goal of this letter is to derive robust adaptive beamformers via generalized loading. In the proposed methods, Hermitian matrices are loaded on sample covariance matrix, and this is different from those methods based on the well-known diagonal loading approach. Furthermore, the computation of the loaded matrix is fully automatic, which is scarce in
Jun Yang, Xiaochuan Ma, Chaohuan Hou, Yicong Liu   +3 more
openaire   +1 more source

Implementation of a robustness constraint in adaptive beamforming

[Proceedings] ICASSP 91: 1991 International Conference on Acoustics, Speech, and Signal Processing, 1991
In highly nonstationary environments, the time available to estimate the correlation matrix used in the MVDR (minimum variance distortionless response) beamformer is severely limited. This requires that the beamformer use very short averaging times, which produces poor estimates of the correlation matrix and thus poor suppression of spatially white ...
openaire   +1 more source

Robust adaptive beamforming for impulse noise environments

2013 IEEE International Conference on Information and Automation (ICIA), 2013
One of the main problems facing beamforming in array system is impulse noise. Although traditional Minimum Variance Distortionless Response (MVDR) beamformer [1] based on classical techniques under minimizing a least-squares objective function has the optimum capabilities of signal protection, interference removal and noise reduction in Gaussian noise ...
Xiaofeng Shen, Zheng Liu, Peng Liu, Jiyan Huang, Yijiang Pan   +4 more
openaire   +1 more source

Robust adaptive beamformer with a large controlled mainlobe

2010 IEEE International Conference on Acoustics, Speech and Signal Processing, 2010
Many advanced adaptive beamformers are robust against arbitrary array steering vector (ASV) mismatches within a presumed uncertainty set. Adaptive array tolerating significant steering direction error usually requires a large size of ASV uncertainty set.
Zhu Liang Yu, Zhenghui Gu, Yuanqing Li 0001, Wee Ser, Meng Hwa Er   +4 more
openaire   +1 more source

Robust Adaptive Beamforming in Uniform Circular Array

2017
Phase-mode transformation (PMT) is a commonly used technique to convert a uniform circular array (UCA) into a virtual uniform linear array (ULA). This method restores the Vandemonde structure of the steering vector and makes it easy to apply many existing beamforming algorithms to UCA.
Xin Song 0002, Ying Guan, Jinkuan Wang, Jing Gao   +3 more
openaire   +1 more source

Adaptive cyclostationary array beamforming with robust capabilities

Journal of the Franklin Institute, 2015
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Ju-Hong Lee, Chia-Ching Chao, Chia-Cheng Huang, Wen-Chen Lo   +3 more
openaire   +1 more source

Robust adaptive beamforming using convex optimization

2017 IEEE 30th Canadian Conference on Electrical and Computer Engineering (CCECE), 2017
This paper compares the performance of various beamforming techniques using convex optimization. A new robust beamforming technique is formulated, and its performance is compared with the diagonal loading, robust SOCP techniques and the standard sample matrix inversion technique in different scenarios. The robustness of the proposed technique to errors
Ahmad Ali Khan, Zahid Ali
openaire   +1 more source

A constraint projection approach for robust adaptive beamforming

[Proceedings] ICASSP 91: 1991 International Conference on Acoustics, Speech, and Signal Processing, 1991
When the optimal signal-to-interference-plus-noise-power ratio (SINR) at the output of the linearly constrained minimum variance beamformer is large, small perturbation errors in the steering constraint can cause substantial degradation of the SINR. Even if there is no perturbation, an excessive number of data snapshots can be required for the SINR to ...
David D. Feldman, Lloyd J. Griffiths
openaire   +2 more sources