Title
A recursive least squares implementation for LCMP beamforming under quadratic constraint
Abstract
Quadratic constraints on the weight vector of an adaptive linearly constrained minimum power (LCMP) beamformer can improve robustness to pointing errors and to random perturbations in sensor parameters. We propose a technique for implementing a quadratic inequality constraint with recursive least squares (RLS) updating. A variable diagonal loading term is added at each step, where the amount of lo...
Year
DOI
Venue
2001
10.1109/78.923296
IEEE Transactions on Signal Processing
Keywords
Field
DocType
Least squares methods,Array signal processing,Resonance light scattering,Least squares approximation,Interference constraints,Robustness,Vectors,Sensor arrays,Closed-form solution,Interference suppression
Least squares,Convergence (routing),Beamforming,Mathematical optimization,Control theory,Weight,Quadratic equation,Robustness (computer science),Adaptive filter,Mathematics,Recursive least squares filter
Journal
Volume
Issue
ISSN
49
6
1053-587X
Citations 
PageRank 
References 
29
1.96
1
Authors
3
Name
Order
Citations
PageRank
Zhi Tian111514.04
Kristine L. Bell224720.67
Harry L. Van Trees3352.87