INCREMENTAL COMPLEX L1-PCA FOR DIRECTION-OF-ARRIVAL ESTIMATION

التفاصيل البيبلوغرافية
العنوان: INCREMENTAL COMPLEX L1-PCA FOR DIRECTION-OF-ARRIVAL ESTIMATION
المؤلفون: Mayur Dhanaraj, Dimitris G. Chachlakis, Panos P. Markopoulos
المصدر: 2018 IEEE Western New York Image and Signal Processing Workshop (WNYISPW).
بيانات النشر: IEEE, 2018.
سنة النشر: 2018
مصطلحات موضوعية: Antenna array, Computer science, Direction finding, Principal component analysis, Direction of arrival, Jamming, Multiple signal classification, Algorithm, Subspace topology
الوصف: In wireless-node localization, the receiver processes snapshots collected by its antenna array in order to estimate the direction-of-arrival (DoA) of a source of interest. High-resolution direction finding is commonly carried out by principal-component analysis (PCA) of the collected complex-valued snapshots (subspace-based methods). Standard PCA was recently replaced by corruption-resistant L1-PCA in order to counteract the detrimental impact of unexpected, intermittent jamming. In this paper, we present the first incremental method for complex L1-PCA and employ it for online direction finding, as snapshots naturally arrive in a streaming fashion. Our numerical studies corroborate the computational efficiency and jamming/corruption resistance of the proposed method.
DOI: 10.1109/wnyipw.2018.8576447
URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_________::e4e05d9f34c269e8fa6849f3da8d78d7
https://doi.org/10.1109/wnyipw.2018.8576447
رقم الانضمام: edsair.doi...........e4e05d9f34c269e8fa6849f3da8d78d7
قاعدة البيانات: OpenAIRE
الوصف
DOI:10.1109/wnyipw.2018.8576447