| Enhancement of Source Localization Performance using Clustering Ranging Method |
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Ho Jin Lee, Kyung Sik Yoon, Kyun Kyung Lee |
1School of Electronics Engineering, KyungPook National University
2Department of Speech Therapy, Gimcheon University |
| 클러스터링 기법을 이용한 음원의 위치추정 성능향상 |
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이호진, 윤경식, 이균경 |
1경북대학교 IT대학 전자공학부
2김천대학교 언어치료학과 |
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| Abstract |
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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. |
| Key Words:
Source Localization, Clustering Method, Wavefront Curvature Ranging, NLS cost-function |
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