Results 121 to 130 of about 1,760 (173)

Adaptive and Robust Beamforming

Academic Press Library in Signal Processing, 2014
Abstract This chapter is dedicated to the overview of the main results in the fields of adaptive beamforming and robust adaptive beamforming. The basic principles and main approaches to adaptive and robust adaptive beamforming are explained based on the narrowband point source signal model.
Sergiy Vorobyov
exaly   +2 more sources

Robust Adaptive Beamforming for MIMO Radar

Signal Processing, 2010
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Dazheng Feng, Cong Xiang
exaly   +4 more sources

Robust Adaptive Beamforming for Large-Scale Arrays

Signal Processing, 2010
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Weixing Sheng, Xiaofeng Ma
exaly   +3 more sources

A robust adaptive Capon beamforming

Signal Processing, 2006
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Liu, Hongqing, Liao, Guisheng, Zhang, Jie   +2 more
openaire   +2 more sources

Novel Robust Adaptive Beamforming

2012 IEEE 75th Vehicular Technology Conference (VTC Spring), 2012
Diagonal loading (DL) is one of the widely used techniques against the errors due to steering vector mismatch and finite sample effect. Recently, a variable loading (VL) has shown its advantages over the DL due to using different loading for each eigenvalue of the correlation matrix of the received array data rather than a fixed loading for all of the ...
Chia-Cheng Huang, Ju-Hong Lee
openaire   +1 more source

A Robust Adaptive Beamforming Approach

2009 International Joint Conference on Artificial Intelligence, 2009
In this paper, a new adaptive weight computation algorithm for a robust array antenna is presented to improve the shortcoming of linearly constrained adaptive beamformer’s sensitivity to the mismatch between the prescribed and actual direction of arrival (MPDOA).The adaptive array minimizes the mean output power under the direction constraint that the ...
Bangjie Ji, Jianping Qian
openaire   +2 more sources

Robust adaptive beamforming in nested array

Signal Processing, 2015
In this communication, we consider the problem of designing robust adaptive beamformer in the newly proposed nested array, where we maintain distortionless response towards the true desired signal and suppress more interferences than the number of actual physical sensors.
Jie Yang 0075, Guisheng Liao, Jun Li 0007   +2 more
openaire   +2 more sources

A Bayesian approach to robust adaptive beamforming

IEEE Transactions on Signal Processing, 2000
An adaptive beamformer that is robust to uncertainty in source direction-of-arrival (DOA) is derived using a Bayesian approach. The DOA is assumed to be a discrete random variable with a known a priori probability density function (PDF) that reflects the level of uncertainty in the source DOA.
Kristine L. Bell, Yariv Ephraim, Harry L. Van Trees   +2 more
openaire   +2 more sources

Robust Adaptive Beamforming

2001
This chapter presents robust adaptive beamforming techniques designed specifically for microphone array applications. The basics of adaptive beamformers are first reviewed with the Griffiths-Jim beamformer (GJBF). Its robustness problems caused by steering vector errors are then discussed with some conventionally proposed robust beamformers.
Osamu Hoshuyama, Akihiko Sugiyama
openaire   +1 more source

A projection approach for robust adaptive beamforming

IEEE Transactions on Signal Processing, 1994
It is well known that calibration errors can seriously degrade performance in adaptive arrays, particularly when the input signal-to-noise ratio is large. The effect is caused by the perturbation of the presumed steering vector from its optimal value. Although it is not as widely known, similar degradation occurs in sampled matrix inversion processing ...
David D. Feldman, Lloyd J. Griffiths
openaire   +2 more sources