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Content Provider | IEEE Xplore Digital Library |
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Author | Zoltowski, M. Santos, E. |
Copyright Year | 2003 |
Description | Author affiliation: Sch. of Electr. & Comput. Eng., Purdue Univ., West Lafayette, IN, USA (Zoltowski, M.; Santos, E.) |
Abstract | When only a limited number of snapshots is available for estimating the spatial correlation matrix, a low-rank solution of the MVDR equations, obtained via a small number of iterations of conjugate gradients (CG), can yield a higher SINK than the full-rank MVDR beamformer. The primary issue addressed in this paper is whether the unity gain constraint in the look direction should be enforced a-priori via the use of a blocking matrix, constituting steering dependent conjugate gradients (SD-CG), or effected a-posteriori through simple scaling of the beamforming vector, constituting steering independent conjugate gradients (SI-CG). It is proven that the two methods yield exactly the same low-rank beamformer. This is an important result since the construction, and application to the data, of a blocking matrix for each "look" direction represents a very substantial computational burden. A simplified expression for the power estimate obtained with the SI-CG beamformer is also presented. Simulations verify the efficacy of the theory. |
Starting Page | 1843 |
Ending Page | 1847 |
File Size | 330457 |
Page Count | 5 |
File Format | |
ISBN | 0780381041 |
DOI | 10.1109/ACSSC.2003.1292301 |
Language | English |
Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
Publisher Date | 2003-11-09 |
Publisher Place | USA |
Access Restriction | Subscribed |
Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
Subject Keyword | Spectrogram Equations Character generation Array signal processing Constraint optimization Yield estimation Signal to noise ratio Computational modeling Lagrangian functions Wiener filter |
Content Type | Text |
Resource Type | Article |
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