Digital Modulation Classification Using the Bees Algorithm and Probabilistic Neural Network Based on Higher Order Statistics
عنوان مقاله: Digital Modulation Classification Using the Bees Algorithm and Probabilistic Neural Network Based on Higher Order Statistics
شناسه ملی مقاله: JR_ITRC-7-4_001
منتشر شده در در سال 1394
شناسه ملی مقاله: JR_ITRC-7-4_001
منتشر شده در در سال 1394
مشخصات نویسندگان مقاله:
Saeed Hakimi
Ataollah Ebrahimzadeh
خلاصه مقاله:
Saeed Hakimi
Ataollah Ebrahimzadeh
There has been an increasing demand for automatic classification of digital signal formats during the past decades, which seems to be a continouning trend in future too. Most of the previously proposed classifiers can only classify a few kinds of digital signals and/or a low order of digital signals. In addition, They usually require a high level of Signal to Noise Ratio (SNR). This paper presents a hybrid intelligent system for recognition of digital signal types, including three main modules: a feature extraction module, a classifier module, i.e., a Probabilistic Neural Networks (PNN), and an optimization module. Simulation results validate the high recognition accuracy of the proposed system even at low SNRs.
صفحه اختصاصی مقاله و دریافت فایل کامل: https://civilica.com/doc/1425508/