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A Novel Source Number Estimator Without Complete Eigendecomp...

A Novel Source Number Estimator Without Complete Eigendecomposition

作     者:Qingchun Zhang Zhenghe Feng 

作者单位:Student MemberIEEEState Key Laboratory On Microwave And Digital Communication Tsinghua University Senior MemberIEEE State Key Laboratory On Microwave And Digital Communication Tsinghua University 

会议名称:《2006 8th International Conference on Signal Processing》

主办单位:Chinese Institute of Electronics;IEE;URSI;IEEE Beijing Section;National Natural Science Foundation of China;et al

会议日期:2006年

学科分类:080904[工学-电磁场与微波技术] 0810[工学-信息与通信工程] 0809[工学-电子科学与技术(可授工学、理学学位)] 08[工学] 081105[工学-导航、制导与控制] 081001[工学-通信与信息系统] 081002[工学-信号与信息处理] 0825[工学-航空宇航科学与技术] 0811[工学-控制科学与工程] 

关 键 词:Parameter estimation 

摘      要:正In this paper,we present another novel source number estimator without the complete eigendecomposition,it is based on the Lanczos process and Sturm algorithm and Finally,for the case of a Uniform Circular Array of six isotropic sensors spaced a half wavelength apart with additive and uncorrelated white noise,we provide a simulated data example to evaluate the proposed estimator,which is proved to be very available.

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