Earticle

초록

영어

A robust beamforming with quadratic constraints, formulated as a semidefinite programming (SDP) problem, is proposed in this paper. With this formulation, the constraints on magnitude response can be easily imposed on the adaptive beamformer. And the non-convex quadratic constraints can be transformed into linear constraints. Therefore, the proposed method can be robust against the steering direction error. In practice, there are many array imperfections except steering direction error. In order to resist all kinds of array imperfections, the adaptive beamformer based on worst-case optimization technique is proposed by minimizing the array output power with respect to the worst-case array imperfections. Simulation results demonstrate that the proposed method is effective and can achieve a better performance.

목차

Abstract
 1. Introduction
 2. Robust Adaptive Beamfromer based on Semidefinite Programming
  2.1. Background
  2.2. Robust Adaptive Beamfromer based on Semidefinite Programming with Magnitude Response Constraints
 3. Robust Adaptive Beamformer based on Worst-case Optimization
 4. Numerical Results
 5. Conclusions
 Acknowledgements
 References

키워드

저자

• Feng Shen [ College of Automation, Harbin Engineering University, Harbin, China ]
• Jinyang Song [ College of Automation, Harbin Engineering University, Harbin, China ]

참고문헌

발행기관

간행물

표지보기 관심저널 등록

• 간행물명

  International Journal of Hybrid Information Technology

• 간기

  격월간

• pISSN

  1738-9968

• 수록기간

  2008~2016

• 십진분류

  KDC 505 DDC 605