DocumentCode
3050096
Title
A method for determining the number of signals based on modified K-means clustering
Author
Zhang, Chunjie ; Si, Xicai ; Xie, Jiling
Author_Institution
Coll. of Inf. & Commun. Eng., Harbin Eng. Univ., Harbin, China
fYear
2010
fDate
20-23 June 2010
Firstpage
451
Lastpage
454
Abstract
Determining the number of signals impinging on an array of sensors is one of the hot and important problems in array processing field. Research on estimation method which is available in colored noise field has important theoretical and practical meaning. A new method is proposed based on K-means clustering algorithm, we construct a distinguishing criteria in reason according to the difference between the signal and noise eigenvalues, and then the signal and noise eigenvalues are classified into two kinds using K-means clustering method. The method is valid in colored noise field. Computer simulation results and the available measured data confirmation prove the effective performance of the method.
Keywords
array signal processing; eigenvalues and eigenfunctions; pattern clustering; sensor arrays; K-means clustering algorithm; colored noise field; estimation method; Array signal processing; Automation; Clustering methods; Colored noise; Educational institutions; Eigenvalues and eigenfunctions; Radar signal processing; Sensor arrays; Signal processing; Signal processing algorithms; K-means cluster; Spatial spectrum estimation; colored noise; determining the number of sources;
fLanguage
English
Publisher
ieee
Conference_Titel
Information and Automation (ICIA), 2010 IEEE International Conference on
Conference_Location
Harbin
Print_ISBN
978-1-4244-5701-4
Type
conf
DOI
10.1109/ICINFA.2010.5512378
Filename
5512378
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