مقاوم سازی الگوریتم شکل دهی پرتو

نوع مقاله: مقاله پژوهشی

نویسندگان

دانشگاه آزاد اسلامی واحد علوم و تحقیقات فارس

چکیده

عملکرد الگوریتم‌های شکل‌دهی پرتو در شرایط عدم قطعیت در بردار هدایت و یا در ماتریس کوواریانس داده، به شدت خراب می‌شوند. در این مقاله یک روش جدید برای مقاوم سازی الگوریتم شکل‌دهی پرتو وفقی حداقل واریانس ارائه می‌شود که هم نسبت به عدم قطعیت در بردار هدایت و هم نسبت به عدم قطعیت در ماتریس کوواریانس داده مقاوم می‌باشد. این روش شامل حداقل‌سازی یک مسأله بهینه سازی با تابع هزینه مرتبه دوم و قید غیر محدب است. در این مقاله نشان داده خواهد شد که مسأله بهینه سازی غیر محدب به یک مسأله محدب تبدیل شده و بردار وزن شکل دهنده پرتو مقاوم سازی شده به دست می‌آید.

کلیدواژه‌ها


عنوان مقاله [English]

Robustness Beamforming Algorithms

نویسندگان [English]

  • Sajad Dehghani
  • Naser Parhizgar
Department of Electrical Engineering, Science and Research Branch, Islamic Azad University, Fars
چکیده [English]

Adaptive beamforming methods are known to degrade in the presence of steering vector and covariance matrix uncertinity. In this paper, a new approach is presented to robust adaptive minimum variance distortionless response beamforming make robust against both uncertainties in steering vector and covariance matrix. This method minimize a optimization problem that contains a quadratic objective function and a quadratic constraint. The optimization problem is nonconvex but is converted to a convex optimization problem in this paper. It is solved by the interior-point method and optimum weight vector to robust beamforming is achieved.

کلیدواژه‌ها [English]

  • robustness
  • Uncertainty
  • Minimum Variance Distortionless Response Beamforming
  • Convex Optimization
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