Stable and Fast Fixed-Point Algorithm for Time-of-Arrival-Based Location with Suppression of Outliers

Conventional time-of-arrival (TOA) localization methods often suffer from performance degradation in the presence of outliers. To address this issue, a robust framework is proposed to mitigate the effects of impulsive noise, including both Gaussian noise and outliers. This framework introduces a sof...

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Vydané v:	IEEE transactions on aerospace and electronic systems s. 1 - 21
Hlavní autori:	Du, Hao-xuan, Feng, Da-Zheng, Wang, Meng
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	IEEE 2025
Predmet:	Accuracy Approximation algorithms Cost function Location awareness Maximum likelihood estimation Noise Noise measurement Robustness Signal processing algorithms Time measurement
ISSN:	0018-9251, 1557-9603
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