A NOVEL BEAMSPACE ALGORITHM FOR DIRECTION OF ARRIVAL BASED ON COMPRESSIVE SENSING

摘要：

　　In this paper,the narrowband direction-of-arrival (DOA) estimation problem is studied in compressive sensing (CS) perspective.A novel approach to DOA estimation in beamspace for a uniform linear array is proposed.A compression perception model is established making use of the spatial sparsity.Then compressive received data is mapped from element-space to beamspace.The MIP statistics property is analyzed to ensure the proposed method possessing better reconstruction property.Simulation results demonstrate that,compared to the Multiple Signal Classification (MUSIC) algorithms and beamspace MUSIC algorithm,the novel method possesses higher resolution and better estimate performance; compared to element-space Dantzig Selector reconstruction algorithm,the proposed method owns higher distinguish probability and lightens computational burden in the condition of low SNR scenario.

关键词： compressive sensingt direction of arrive beamsapce Dantzig Selector MUSIC beamspace MUSIC

作者: Yufeng Chen Jianguo Huang Jing Han

作者单位: College of Marine, Northwestern Polytechnical University, Xian, Shaanxi, China, 710072

会议类型: 国际会议

会议名称: 2012 IEEE 11th International Conference on Signal Processing (第11届IEEE信号处理国际会议)

会议地点: 北京

会议语种:英文

页码: 394-397

在线出版日期: 2012-10-21（万方平台首次上网日期，不代表论文的发表时间）