A distributed approach to robust minimum variance distortionless response beamforming in large‐scale arrays

Abstract

AbstractRobust beamforming is a commonly‐used solution to various array processing problems. Recently, with the inevitable and rapid increasing of array size, the complexity issue arising from high‐dimension matrix computations has become an urgent concern in algorithm design. In this paper, an efficient distributed robust beamforming algorithm is developed for large‐scale arrays. Specifically, the problem of robust minimum variance distortionless response (MVDR) beamforming with sidelobe level control is considered. By fitting the worst‐case reformulation of robust MVDR beamforming into the framework of alternating direction method of multipliers, the problem can be iteratively solved in a distributed manner, with each iteration being computed in closed form. Numerical results demonstrate that this design is more efficient than many related approaches.