ملخص
Neural network (NN) based channel estimation method has been proposed for identifying the parameters of a nonlinear time varying satellite channel. A multipath time-varying Ricean-fading channel has been considered in the analysis for a down link scenario. To study the flexibility and performance of the proposed method, the channel in question has been varied over a reasonable range of Doppler frequencies, and the estimation for each case has been made by employing 16-quadrature amplitude modulation (16-QAM) technique. Both back propagation (BP) and natural gradient (NG) algorithms have been studied for the channel identification technique. Finally, a NN maximum likelihood sequence estimator (NN-MLSE) based receiver has been studied for the addressed system. Simulation results show that the NN-MLSE receiver performs close to that of the ideal (the channel is perfectly known) MLSE receiver in terms of symbol error rate (SER).
اللغة الأصلية | English |
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رقم المقال | 1556868 |
الصفحات (من إلى) | 17-27 |
عدد الصفحات | 11 |
دورية | GANIT: Journal of Bangladesh Mathematical Society |
مستوى الصوت | 25 |
المعرِّفات الرقمية للأشياء | |
حالة النشر | Published - 2005 |
الحدث | Canadian Conference on Electrical and Computer Engineering 2005 - Saskatoon, SK, Canada المدة: مايو ١ ٢٠٠٥ → مايو ٤ ٢٠٠٥ |
ASJC Scopus subject areas
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