کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
4954225 | 1443133 | 2016 | 8 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
Modulation recognition in the 868Â MHz band using classification trees and random forests
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کلمات کلیدی
موضوعات مرتبط
مهندسی و علوم پایه
مهندسی کامپیوتر
شبکه های کامپیوتری و ارتباطات
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چکیده انگلیسی
Automatic modulation recognition (AMR) enables the detection of different data-transmission formats sharing the same frequency band. One such band is the European 868Â MHz band that is dedicated for short-range devices. Recently, an AMR method that applies a feature-based tree has been proposed for this band. In this paper, we present alternative feature-based classifiers that enable a more accurate AMR. In particular, we propose the use of classification tree and random forest classifiers, and we devise an extended set of features for the modulation classification problem at hand. Through simulation experiments we demonstrate a significant improvement in recognition success rate for typical transmission types in the 868Â MHz band.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: AEU - International Journal of Electronics and Communications - Volume 70, Issue 9, September 2016, Pages 1321-1328
Journal: AEU - International Journal of Electronics and Communications - Volume 70, Issue 9, September 2016, Pages 1321-1328
نویسندگان
Ken Lau, Matias Salibian-Barrera, Lutz Lampe,