Digital Modulation Classification in Dependent Noise Using Copula
محل انتشار: سومین کنفرانس بین المللی مهندسی برق
سال انتشار: 1397
نوع سند: مقاله کنفرانسی
زبان: انگلیسی
مشاهده: 519
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شناسه ملی سند علمی:
ICELE03_566
تاریخ نمایه سازی: 18 اسفند 1397
چکیده مقاله:
In this paper, a new approach is introduced for the classification of digital modulation schemes based on copulatheory. Copula concept helps us to do the classification in a dependent noise environment. Using copula enables us notto confine the dependency model as a special case, but this model can be arbitrary. In the proposed method, theprobability density functions (PDFs) of the digital modulated signal and the noise are extracted separately. Then, theconglomerate PDF of the received signal is estimated using copula. Analyzing the PDF and comparing it with the PDFof the actual received data results in a powerful classification even at low signal-to-noise ratio (SNR). Theoreticaldiscussions are verified with simulations and comparisons with other conventional methods.
کلیدواژه ها:
نویسندگان
Mohammad Hossein Gholizadeh
Department of Electrical Engineering, Vali-e-Asr University of Rafsanjan, Rafsanjan, Iran
Hamidreza Amindavar
Department of Electrical Engineering, Amirkabir University of Technology, Tehran, Iran