منابع مشابه
Principles of minimum variance robust adaptive beamforming design
Robustness is typically understood as an ability of adaptive beamforming algorithm to achieve high performance in the situations with imperfect, incomplete, or erroneous knowledge about the source, propagation media, and antenna array. It is also desired to achieve high performance with as little as possible prior information. In the last decade, solve a number of problems in a wide range of ap...
متن کاملA geometrical approach to robust minimum variance beamforming
This paper presents a highly efficient geometrical approach for designing robust minimum variance (RMV) beamformers against uncertainties in the array steering vector. Instead of the conventional approach of modeling the uncertainty region by a convex closed space, the proposed algorithm exploits the optimization constraint and shows that optimization only needs to be done on the intersection o...
متن کاملDistributed Robust Min Variance Beamforming
Recent work by Lorentz and Boyd present a robust minimal variance beamformer (RMVB) that is robust to the transmitter angle of arrival. In the current work we extend the RMVB construction in two directions. First, we propose a distributed algorithm that be computed jointly by the receiving antennas. Second, we extend the RMVB model to allow uncertainties in both phase and amplitude of the recei...
متن کاملOn linearly constrained minimum variance beamforming
Beamforming is a widely used technique for source localization in signal processing and neuroimaging. A number of vector-beamformers have been introduced to localize neuronal activity by using magnetoencephalography (MEG) data in the literature. However, the existing theoretical analyses on these beamformers have been limited to simple cases, where no more than two sources are allowed in the as...
متن کاملMinimum Variance Adaptive Beamforming Applied to a Circular Sonar Array
The minimum variance (MV) beamformer, also known as the Capon or minimum variance distortionless response (MVDR) beamformer, uses the recorded wavefield to compute a set of optimal weights to be applied to each sensor, before coherently adding the sensor outputs. The weights are chosen such that the variance of the output is minimized while maintaining unit gain in the view direction. The MV be...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: IEEE Transactions on Signal Processing
سال: 2005
ISSN: 1053-587X
DOI: 10.1109/tsp.2005.845436