| Title | On the Implementation of the Linearly Constrained Minimum Variance Beamformer |
| Authors | Andreas Jakobsson, Stephen Alty, Sangarapillai Lambotharan |
| Full-text | Available as PDF, Restricted Access |
| Alternative Location | http://ieeexplore.ieee.org/..., Restricted Access |
| Alternative Location | http://dx.doi.org/10.1109/T... |
| Publication | IEEE Transactions on Circuits and Systems II |
| Year | 2006 |
| Volume | 53 |
| Issue | 10 |
| Pages | 1059 - 1062 |
| Document type | Article |
| Status | Published |
| Quality controlled | Yes |
| Language | eng |
| Publisher | IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC, |
| Abstract English | The linearly constrained minimum variance (LCMV) method, which allows multiple linear constraints, is an extension of the classical minimum variance distortionless response filter. Depending on the spatial filter length and the desired frequency grid, a direct computation of the resulting spatial beam pattern may be prohibitive. This brief exploits the rich structure of the LCMV expression to find a nonrecursive computationally efficient implementation of the LCMV beamformer with fixed constraints. The implementation is formed via the use of the matrix inversion lemma and the fast Fourier transform. Numerical simulations indicate a dramatic computational gain, especially for fine frequency grids and multiple constraints. |
| Keywords | adaptive signal processing, array signal processing, efficient implementation, linearly constrained minimum variance, ALGORITHM, |
| ISBN/ISSN/Other | ISSN: 1057-7130 |
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