کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
6958240 | 1451938 | 2016 | 13 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
Robust adaptive beamforming with random steering vector mismatch
ترجمه فارسی عنوان
پرتوهای تطبیقی قوی با عدم تقارن فرمان تصادفی
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کلمات کلیدی
پرتوی فرمول حداقل واریانس قوی عدم هماهنگی درونی چرخش برنامه نویسی نیمه تمام
موضوعات مرتبط
مهندسی و علوم پایه
مهندسی کامپیوتر
پردازش سیگنال
چکیده انگلیسی
In this paper, random steering vector mismatches in sensor arrays are considered and probability constraints are imposed for designing a robust minimum variance beamformer (RMVB). To solve the resultant design problem, a Bernstein-type inequality for stochastic processes of quadratic forms of Gaussian variables is employed to transform the probabilistic constraint to a deterministic form. With the use of convex optimization techniques, the deterministic problem is reformulated to a semidefinite programming (SDP) problem which can be efficiently solved. In order to overcome the degradation caused by the presence of the signal-of-interest (SOI) in the training snapshots, two methods with different application conditions to interference-plus-noise covariance matrix (INCM) construction are also introduced. Additionally, the uncertainty of the sample covariance matrix is taken into account to improve the robustness when the INCM-based approaches are not feasible. Numerical examples are presented to demonstrate the performances of the proposed robust beamformers in different scenarios.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Signal Processing - Volume 129, December 2016, Pages 190-194
Journal: Signal Processing - Volume 129, December 2016, Pages 190-194
نویسندگان
Bin Liao, Chongtao Guo, Lei Huang, Qiang Li, Guisheng Liao, H.C. So,