Robust near-field Beamforming with Worst Case Performance Based on Convex Optimization

摘要：

A new robust beamforming algorithm with worst case performance against the steering vector mismatch for near-field is presented. For uniform linear array, the model of near-field signal with spherical wavefront has been used to design the beamforming problem. The convex optimization method is applied to revise the steering vector error of the beam, and the algorithm constraints on the source signal to minimum the output variance of the signal, and maximum the output SINR. The output performance of the steering vector mismatch problem has been improved, and its simple to implement. Results of simulation for a 10element uniform linear array verify the availability and effectiveness of this robust method.

关键词： near-field robustness beamforming steering vector error convex optimization

作者: LIAO Yan-ping JIAO Yan-min ZHANG Chao-zhu

作者单位: College of Information and Communication Engineering Harbin Engineering University Harbin, China

会议类型: 国际会议

会议名称: 2012 5th Global Symposium on Millimeter-Waves(2012年第五届全球毫米波会议 GSMM 2012)

会议地点: 哈尔滨

会议语种:英文

页码: 608-611

在线出版日期: 2012-05-27（万方平台首次上网日期，不代表论文的发表时间）