An Efficient Classification Method of Mixed Sources

作者：Jiang Jia-jia^*; Duan Fa-jie^*; Wang Xian-quan^*

来源：IEEE Sensors Journal, 2016, 16(10): 3731-3734.

DOI：10.1109/JSEN.2016.2533622

• Classification method
• near-field and far-field sources
• localization method

A simple but effective classification and localization method is presented to distinguish the near-and far-field sources from mixed sources, and estimate the range parameters of near-field sources. To distinguish the near-and far-field sources, He et al. fall back on the oblique projection technique (OPT), which would yield extra estimation errors. In this paper, we do not resort to any other estimation technique (such as OPT), but make good use of known information, so as to achieve the separation of both near-field sources and far-field sources as well as estimation of range of near-field sources. Therefore, the proposed method obtains higher estimation accuracy than the method of He et al. Simulation and comparison results with the method of He et al. show the performance of the proposed method in this paper.

• 出版日期2016-5-15
• 单位天津大学