Localization for mixed near-field and far-field sources under impulsive noise

نویسندگان

چکیده

In order to solve the problem that performance of traditional localization methods for mixed near-field sources (NFSs) and far-field (FFSs) degrades under impulsive noise, a robust novel method is proposed. After eliminating impacts noise by weighted outlier filter, direction arrivals (DOAs) FFSs can be estimated multiple signal classification (MUSIC) spectral peaks search. Based on DOAs information FFSs, separation performed. Finally, estimation localizing parameters NFSs avoid two-dimension search decomposing steering vectors. The Cramer-Rao bounds (CRB) unbiased estimations DOA range have been drawn. Simulation experiments verify proposed has advantages in probability successful (PSE) root mean square error (RMSE) compared with existing methods. It concluded effective reliable environment low generalized ratio (GSNR), few snapshots, strong impulse.

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ژورنال

عنوان ژورنال: Chinese Journal of Systems Engineering and Electronics

سال: 2023

ISSN: ['1004-4132']

DOI: https://doi.org/10.23919/jsee.2023.000065