Improved K-Means Algorithm for Nearby Target Localization

Improved K-Means Algorithm for Nearby Target Localization

In a multi-source localization system, direction of arrival (DOA) estimation of angles always suffers from errors due to noise interference, sensor position inaccuracies, and other factors. When the distance between target sources is much smaller than the distance between sensors and target sources,...

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Bibliographic Details
Main Authors: Zongwen Yuan, Xingdi Wang, Fuyang Chen, Xicheng Ma
Format: Article
Language:English
Published: IEEE 2025-01-01
Series:IEEE Access
Subjects:
Direction of arrival
passive location
K-means clustering
Online Access:https://ieeexplore.ieee.org/document/10714343/
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