دورية أكاديمية

An improved algorithm of segmented orthogonal matching pursuit based on wireless sensor networks

التفاصيل البيبلوغرافية
العنوان: An improved algorithm of segmented orthogonal matching pursuit based on wireless sensor networks
المؤلفون: Xinmiao Lu, Yanwen Su, Qiong Wu, Yuhan Wei, Jiaxu Wang
المصدر: International Journal of Distributed Sensor Networks, Vol 18 (2022)
بيانات النشر: Wiley, 2022.
سنة النشر: 2022
المجموعة: LCC:Electronic computers. Computer science
مصطلحات موضوعية: Electronic computers. Computer science, QA75.5-76.95
الوصف: Aiming at the problems of low data reconstruction accuracy in wireless sensor networks and users unable to receive accurate original signals, improvements are made on the basis of the stagewise orthogonal matching pursuit algorithm, combined with sparseness adaptation and the pre-selection strategy, which proposes a sparsity adaptive pre-selected stagewise orthogonal matching pursuit algorithm. In the framework of the stagewise orthogonal matching pursuit algorithm, the algorithm in this article uses a combination of a fixed-value strategy and a threshold strategy to screen the candidate atom sets in two rounds to improve the accuracy of atom selection, and then according to the sparsity adaptive principle, the sparse approximation and accurate signal reconstruction are realized by the variable step size method. The simulation results show that the algorithm proposed in this article is compared with the orthogonal matching pursuit algorithm, regularized orthogonal matching pursuit algorithm, and stagewise orthogonal matching pursuit algorithm. When the sparsity is 35
نوع الوثيقة: article
وصف الملف: electronic resource
اللغة: English
تدمد: 1550-1477
15501329
Relation: https://doaj.org/toc/1550-1477
DOI: 10.1177/15501329221077165
URL الوصول: https://doaj.org/article/34b54cec744f4640b6c548bcff7ca0b3
رقم الأكسشن: edsdoj.34b54cec744f4640b6c548bcff7ca0b3
قاعدة البيانات: Directory of Open Access Journals
الوصف
تدمد:15501477
15501329
DOI:10.1177/15501329221077165