Dimensionality reduction and improving the performance of automatic modulation classification using genetic programming
Publish place: 7th Sympozium on Advances in Sience & Technology
Publish Year: 1391
نوع سند: مقاله کنفرانسی
زبان: English
View: 1,147
This Paper With 9 Page And PDF Format Ready To Download
- Certificate
- من نویسنده این مقاله هستم
این Paper در بخشهای موضوعی زیر دسته بندی شده است:
استخراج به نرم افزارهای پژوهشی:
شناسه ملی سند علمی:
SASTECH07_101
تاریخ نمایه سازی: 30 تیر 1392
Abstract:
Modulation recognition is one of the main parts of modern communication receivers. The automatic modulation recognition of received signal is considered as the intermediate step between signal detection and its demodulation. In most military and communication systems, modulation detection is considered as a part of whole system. The existing methods for this purpose are based on modulated signal’s components. In this paper, the features of modulation classification were decreased using genetic programming. The performance of modulation classification can be improved using genetic programming. The performance improvement was compared between Multi-layer neural network perceptron, and decision tree. The purposed method was designed for 16QAM ، 64QAM ،2FSK ،4FSK ،2PSK ،4PSK modulations. The simulation results show that this method has high accuracy and good convergence rate in presence of noise.
Keywords:
modulation automatic detection , genetic programming , entropy , Multi-layer neural network perceptron , and decision tree
Authors
Karim Hessampour
Yazd University
Ali Mohammad Latif
Assistant Professor Yazd University
Mohammad Ghasemzadeh
Assistant Professor Yazd university
مراجع و منابع این Paper:
لیست زیر مراجع و منابع استفاده شده در این Paper را نمایش می دهد. این مراجع به صورت کاملا ماشینی و بر اساس هوش مصنوعی استخراج شده اند و لذا ممکن است دارای اشکالاتی باشند که به مرور زمان دقت استخراج این محتوا افزایش می یابد. مراجعی که مقالات مربوط به آنها در سیویلیکا نمایه شده و پیدا شده اند، به خود Paper لینک شده اند :