کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
562651 875425 2012 7 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
A fast adaptive reduced rank transformation for minimum variance beamforming
موضوعات مرتبط
مهندسی و علوم پایه مهندسی کامپیوتر پردازش سیگنال
پیش نمایش صفحه اول مقاله
A fast adaptive reduced rank transformation for minimum variance beamforming
چکیده انگلیسی

In conventional reduced rank minimum variance beamformer (RRMVB), a rank-reducing transformation is usually obtained from eigenvectors of the estimated sample covariance matrix, while the eigenvectors are usually obtained via eigen-decomposition. To alleviate the computational burden caused by eigen-decomposition, a fast reduced rank minimum variance beamformer (FRRMVB) is proposed in this paper. In the estimated covariance matrix case, a set of receive data vectors are taken as a rough and fast estimate of the true interference subspace, and the rank-reducing transformation is chosen as the augmentation of the estimated interference subspace with the steering vector of the desired signal. As FRRMVB performs without eigen-decomposition, it requires less computational load and is easier to be executed in practical applications compared with the conventional RRMVB. Moreover, it has good performance even with small sample size. Simulation results demonstrate the efficiency of the proposed method. The proposed method can be used for real-time adaptive array processing.


► A fast reduced rank minimum variance beamformer (FRRMVB) is proposed.
► A set of receive data vectors is taken as a fast estimate of interference subspace X.
► FRRMVB requires less computational load and is easier to be implemented.
► FRRMVB has good performance even with small sample size.
► Simulation results demonstrate the efficiency of the proposed FRRMVB.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Signal Processing - Volume 92, Issue 12, December 2012, Pages 2881–2887
نویسندگان
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