Fourth-Order MUSIC Algorithm based on Minimum Redundant Virtual Extended Array

摘要：

A novel forth-order multiple signal classification (MUSIC) algorithm was proposed based on the virtual array technique. Since the effective array aperture is extended according to the higher-order steering vector expression, a virtual spatial covariance matrix is derived using the forth-order cumulants. In this way, the redundant information contained in the cumulants are removed, and the computational complexity is reduced for the dimension of the virtual covariance matrix is decreased, which is equal to the number of the virtual array elements. Numerical results show that for Gaussian signals, the performance of the second-order methods is optimal. However, for non- Gaussian signals, the direction estimation variance of the proposed method is decreased and the resolution probability of two close signals is improved, compared to those of the second-order MUSIC algorithm.

关键词： Virtual array fourth-order cumulants multiple signal classification virtual covariance matrix array aperture

作者: Biao Jiang Lijun Zheng Qianliu Cheng

作者单位: Hangzhou Applied Acoustics Research Institute,Hangzhou,310012,China Zhijiang College of Zhejiang University of Technology,Hangzhou,310024,China

会议类型: 国际会议

会议名称: 第二届IEEE无线通讯、网络技术暨移动计算国际会议

会议地点: 武汉

会议语种:英文

在线出版日期: 2006-09-01（万方平台首次上网日期，不代表论文的发表时间）