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International Journal of Engineering، جلد ۲۷، شماره ۵، صفحات ۷۰۹-۷۱۴
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عنوان انگلیسی Dimensionality Reduction and Improving the Performance of Automatic Modulation Classification using Genetic Programming (RESEARCH NOTE)
چکیده انگلیسی مقاله This paper shows how we can make advantage of using genetic programming in selection of suitable features for automatic modulation recognition. Automatic modulation recognition is one of the essential components of modern receivers. In this regard, selection of suitable features may significantly affect the performance of the process. Simulations were conducted with 5db and 10db SNRs. Test and training data released from real ones recorded in an actual communication system. For performance analyzing of the proposed method a set of experiments were conducted considering signals with 2PSK, 4PSK, 2FSK, 4FSK, 16QAM and 64 QAM modulations. The results show that the selected features by the model improve the performance of automatic modulation recognition substantially. During our experiments, we also reached the suitable values and forms for mutation and crossover ratio, fitness function as well as other parameters for the proposed model.
کلیدواژه‌های انگلیسی مقاله
نویسندگان مقاله karim Hessampour |
Elecrtical and Computer enginnering, Yazd University

Alimohammad Latif |
Department of Electrical and Computer Engineering, Yazd University

نشانی اینترنتی http://www.ije.ir/article_72301_0345449a1c707433f3dbcd5734983f33.pdf
فایل مقاله اشکال در دسترسی به فایل - ./files/site1/rds_journals/409/article-409-2062724.pdf
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زبان مقاله منتشر شده en
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