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Multiuser detection with neural network MAI detector in CDMA systems for AWGN and rayleigh fading asynchronous channels
المؤلفون المشاركون
المصدر
The International Arab Journal of Information Technology
العدد
المجلد 10، العدد 4 (31 يوليو/تموز 2013)7ص.
الناشر
تاريخ النشر
2013-07-31
دولة النشر
الأردن
عدد الصفحات
7
التخصصات الرئيسية
الموضوعات
الملخص EN
in this study the performance of the proposed receiver with the neural network multiple access interference (MAI) detector is compared with the matched filter bank (classical receiver), neural network that detects user's signal and single user bound for Additive White Gaussian Noise (AWGN) and Rayleigh fading asynchronous channels by computer simulations. There are a lot of study in the literature that compare the neural network receiver and other methods.
These neural network receivers detect the user bits after the matched filter.
In this study, MAI is detected after the matched filter with the proposed neural network receiver and then user bits are obtained by subtracting MAI from the matched filter output.
The proposed receiver with the neural network MAI detector has got better Bit Error Rate (BER) performance than the neural network that detects user`s signal in AWGN and Rayleigh fading asynchronous channels for Signal Noise Ratio (SNR) simulations, and in AWGN asynchronous channels for the number of users simulations, although both have the same complexity.
However, both have almost same BER performance in AWGN and Rayleigh fading asynchronous channels for Near Far Ratio (NFR) simulations, and in Rayleigh fading asynchronous channels for the number of users simulations.
نمط استشهاد جمعية علماء النفس الأمريكية (APA)
Taspinar, Necmi& Isik, Yalcin. 2013. Multiuser detection with neural network MAI detector in CDMA systems for AWGN and rayleigh fading asynchronous channels. The International Arab Journal of Information Technology،Vol. 10, no. 4.
https://search.emarefa.net/detail/BIM-311891
نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)
Taspinar, Necmi& Isik, Yalcin. Multiuser detection with neural network MAI detector in CDMA systems for AWGN and rayleigh fading asynchronous channels. The International Arab Journal of Information Technology Vol. 10, no. 4 (Jul. 2013).
https://search.emarefa.net/detail/BIM-311891
نمط استشهاد الجمعية الطبية الأمريكية (AMA)
Taspinar, Necmi& Isik, Yalcin. Multiuser detection with neural network MAI detector in CDMA systems for AWGN and rayleigh fading asynchronous channels. The International Arab Journal of Information Technology. 2013. Vol. 10, no. 4.
https://search.emarefa.net/detail/BIM-311891
نوع البيانات
مقالات
لغة النص
الإنجليزية
الملاحظات
Includes bibliographical references.
رقم السجل
BIM-311891
قاعدة معامل التأثير والاستشهادات المرجعية العربي "ارسيف Arcif"
أضخم قاعدة بيانات عربية للاستشهادات المرجعية للمجلات العلمية المحكمة الصادرة في العالم العربي
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