Broadband Adaptive Beamforming Using UIA-MVDR Algorithm

摘要：

Broadband adaptive beamforming is considered in this paper with a view to avoid the signal cancellation caused by signal-correlated interferences. The classic approach of spectral averaging is applied. However, the proposed approach, referred to as unitarily interpolated array minimum variance distortionless response (UIA-MVDR), is distinguished by imposing a unitary constraint on the transform matrix. It releases the restriction on the order of Bessel function expansion so that very accurate array manifold approximation can be achieved even in the case of small or middle arrays. Compared with many related approaches, UIA-MVDR destroys the correlation more completely and then achieves better performance. Its excellent performance is confirmed via a number of numerical examples.

关键词： unitary constraint spectral averaging broadband adaptivebeamforming signal cancellation

作者: CHEN Yue-Bin WANG Jie LING Yong-Fa

作者单位: School of Eletronic and Information Engineering,YunnanNationalities University Kunming 650031 China; School of Eletronic and Information Engineering,YunnanNationalities University Kunming 650031 China

会议类型: 国际会议

会议名称: 第三届IEEE无线通讯、网络技术暨移动计算国际会议

会议地点: 上海

会议语种:英文

在线出版日期: 2007-09-21（万方平台首次上网日期，不代表论文的发表时间）