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Enhancement of Source Localization Performance using Clustering Ranging Method
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 Title & Authors
Enhancement of Source Localization Performance using Clustering Ranging Method
Lee, Ho Jin; Yoon, Kyung Sik; Lee, Kyun Kyung;
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Source localization has developed in various fields of signal processing including radar, sonar, and wireless communication, etc. Source localization can be found by estimating the time difference of arrival between the each of sensors. Several methods like the NLS(Nonlinear Least Square) cost function have been proposed in order to improve the performance of time delay estimation. In this paper, we propose a clustering method using the four sensors with the same aperture as previous methods of using the three sensors. Clustering method can be improved the source localization performance by grouping similar estimated values. The performance of source localization using clustering method is evaluated by Monte Carlo simulation.
Source Localization;Clustering Method;Wavefront Curvature Ranging;NLS cost-function;
 Cited by
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