UNITARY--MUSIC AND ITS PARALLEL DESIGN FOR DOA ESTIMATION

摘要：

A real-valued (unitary) formulation of the Multiple Signal Classification (MUSIC) algorithm is considered, in this paper. This Unitary-MUSIC algorithm reduces the computational complexity because it exploits the eigenvalue decomposition of a real-valued covariance matrix and it only needes to compute real-valued manifold in the stage of MUSIC spectrum peak search.Additionally, our simulations demonstrate that Unitary-MUSIC provides better performance than the conventional MUSIC algorithm. Finally, a parallel design for the Unitary-MUSIC is presented. The parallel structure allows a substantial increase in the speed of the implement of the Unitary-MUSIC. The efficiency of the parallel design is verified via the Lyrtech proto type based on multiple Digital Signal Processors (DSPs).

关键词： Unitary-MUSIC UCA eigenvalue decomposition parallel design

作者: FULAI LIU JINKUAN WANG JIANPING CAI

作者单位: Engineering Optimization & Smart Antenna Institute, Northeastern University at Qinhuangdao, China Zhejiang water conservancy and hydropower college

会议类型: 国际会议

会议名称: The Second International Conference on Information & Systems Sciences(ICISS2008)(第二届信息与系统科学国际会议)

会议地点: 大连

会议语种:英文

页码: 689-698

在线出版日期: 2008-12-18（万方平台首次上网日期，不代表论文的发表时间）