USE OF SIMILARITY METRICS IN ROBUST TIME DELAY ESTIMATION

نویسندگان

چکیده

This paper addresses the task of time delay and direction arrival estimation for a source wideband signal using two sensors with fixed displacement. The peculiarity statement is that limited observation supposed additive noise assumed non-Gaussian heavy-tail distribution. leads to high probability abnormal estimates conventional processing method based on cross-correlation. To decrease this probability, it proposed reformulate cross-correlation similarity between data arrays. allows different metrics, particularly those have less sensitivity outliers in (impulse noise), and, thus, provide better robustness environments typical several applications estimation. More than ten metrics are considered model symmetric α-stable distribution describing properties. It shown some including cosine distance, Hellinger, others able sufficiently accuracy both sense RMSE normal values α wide range γ

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ژورنال

عنوان ژورنال: Vìsnik Hmel?nic?kogo nacìonal?nogo unìversitetu

سال: 2023

ISSN: ['2307-5732']

DOI: https://doi.org/10.31891/2307-5732-2023-319-1-224-230