Fuzzy compensation support vector classification for direction of arrival estimation

Authors:
He Xiang;Liu Zemin;Jiang Bin
Affiliations:
School of Telecommunication Engineering, Beijing University of Posts and Telecommunication, Beijing, China;School of Telecommunication Engineering, Beijing University of Posts and Telecommunication, Beijing, China;Research Institute of Space Electronics Technology, National University of Defense Technology, Changsha, China
Venue:
WiCOM'09 Proceedings of the 5th International Conference on Wireless communications, networking and mobile computing
Year:
2009

Citing 2
Cited 0

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Abstract

This paper presents a new direction of arrival (DOA) estimation method based on a multi-class implementation of fuzzy compensation support vector machine (SVM). 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, compared with other SVM-based DOA estimation, like LS-SVM algorithm, this approach reduces the training and testing time and performs better with larger data, so is easier to implement in real-time applications. Computer simulation results show the effectiveness of the proposed method.