Title
An adaptive beamforming technique based on cyclostationary signal properties
Abstract
A new approach to adaptive beamforming is presented. The method is based on the property of cyclostationary signals to generate spectral lines when they pass through certain nonlinear transformations. The beamformer coefficients are selected according to a new optimization objective, which consists on minimizing the mean square error between the array output after the nonlinearity and a complex exponential. This approach optimally extracts any signal that generates a spectral line at the same frequency as the reference complex exponential. A gradient-based algorithm is derived to compute the optimum weights. Since the proposed cost function is a nonconvex function of the array coefficients, minima are analyzed for the three most common types of perturbations found in communications: Gaussian noise, multiple interferences, and multipath propagation. It is demonstrated via analysis and simulations that minima correspond to points where output noise power is minimized, interferences are canceled, and intersymbol interference is removed, i.e., the beamformer eliminates the distortion introduced by the radiocommunication channel
Year
DOI
Venue
1995
10.1109/78.398725
IEEE Transactions on Signal Processing
Keywords
Field
DocType
Gaussian noise,adaptive signal processing,array signal processing,interference suppression,intersymbol interference,least mean squares methods,multipath channels,radiofrequency interference,radiowave propagation,spectral analysis,Gaussian noise,adaptive beamforming technique,array coefficients,array output,beamformer coefficients,complex exponential,cost function,cyclostationary signal properties,distortion,gradient-based algorithm,intersymbol interference,mean square error,multipath propagation,multiple interferences,nonconvex function,nonlinear transformations,nonlinearity,output noise power,radiocommunication channel,spectral lines
Multipath propagation,Beamforming,Intersymbol interference,Adaptive beamformer,Control theory,Sensor array,Algorithm,Speech recognition,Adaptive filter,Gaussian noise,Mathematics,Cyclostationary process
Journal
Volume
Issue
ISSN
43
7
1053-587X
Citations 
PageRank 
References 
17
4.97
6
Authors
2
Name
Order
Citations
PageRank
L. Castedo16510.88
Figueiras-Vidal, A.R.229540.59