Direction Of Arrival Estimation Based On Smooth Support Vector Regression

摘要：

In this paper, we propose a new approach on direction of arrival (DOA) estimation based on smooth support vector regression. The proposed method can achieve higher accurate estimates for DOA while avoiding the all-direction peak value searching technique used in other traditional DOA estimation methods. Meanwhile, this approach reduces the extensive computations required by conventional super resolution algorithms such as MUSIC and is easier to implement in real-time applications. The proposed method map among the outputs of the array and the DOAs by means of a family of support vector machines. Computer simulation results show the effectiveness of the proposed method.

关键词： Direction of Arrival(DOA) estimation Support Vector Machine(SVM) smooth support vector regression(SSVR)

作者: He Xiang Jiang Bin Zhong Jingli Sun Yueguang Zemin Liu

作者单位: Communication Commanding Academy Wuhan, China School of Telecommunication Engineering Beijing Univer Communication Commanding Academy Wuhan, China School of Telecommunication Engineering Beijing University of Posts and Telecommunications Beijing,

会议类型: 国际会议

会议名称: The 2010 2nd International Conference on Future Computer and Communication(第二届未来计算机与通信国际会议 ICFCC 2010)

会议地点: 武汉

会议语种:英文

页码: 818-822

在线出版日期: 2010-05-21（万方平台首次上网日期，不代表论文的发表时间）