کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
564471 875603 2010 13 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Adaptive reduced-rank LCMV beamforming algorithms based on joint iterative optimization of filters: Design and analysis
موضوعات مرتبط
مهندسی و علوم پایه مهندسی کامپیوتر پردازش سیگنال
پیش نمایش صفحه اول مقاله
Adaptive reduced-rank LCMV beamforming algorithms based on joint iterative optimization of filters: Design and analysis
چکیده انگلیسی

This paper presents reduced-rank linearly constrained minimum variance (LCMV) beamforming algorithms based on joint iterative optimization of filters. The proposed reduced-rank scheme is based on a constrained joint iterative optimization of filters according to the minimum variance criterion. The proposed optimization procedure adjusts the parameters of a projection matrix and an adaptive reduced-rank filter that operates at the output of the bank of filters. We describe LCMV expressions for the design of the projection matrix and the reduced-rank filter. We then describe stochastic gradient and develop recursive least-squares adaptive algorithms for their efficient implementation along with automatic rank selection techniques. An analysis of the stability and the convergence properties of the proposed algorithms is presented and semi-analytical expressions are derived for predicting their mean squared error (MSE) performance. Simulations for a beamforming application show that the proposed scheme and algorithms outperform in convergence and tracking the existing full-rank and reduced-rank algorithms while requiring comparable complexity.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Signal Processing - Volume 90, Issue 2, February 2010, Pages 640–652
نویسندگان
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