Parallel Factor Analysis-Based DOA Estimation in the Stationary Noise

摘要：

In this paper, we employ the PARAFAC analysis to estimate the direction of arrival (DOA) of sources in the background of stationary noise. The new method builds a PARAFAC model by computing the second order cyclic statistics of different sub-array, and solves it using TALS, finally, direction of arrival is estimated without spectrum-searching. Compared with other algorithms, the proposed method can estimate the direction of arrival with a higher accuracy, and suppress the stationary noise by computation of the cyclic correlated matrixes of received data.

关键词： Parallel Factor Array Signal Processing Parameters Estimation Cyclic Statistics

作者: Guohong Liu Bo Wang Xiaoying Sun Yanjun Zhang

作者单位: College of Communication Engineering Jilin University Changchun, 130025, China

会议类型: 国际会议

会议名称: 2011 International Conference on Communication and Electronics Information(ICCEI 2011)(2011年通信和电子信息国际会议)

会议地点: 海口

会议语种:英文

页码: 17-20

在线出版日期: 2011-02-22（万方平台首次上网日期，不代表论文的发表时间）