Nonlinear Stationary Channel Equalization of QAM Signals using Multiplicative Neuron Model
نویسندگان
چکیده
A novel feed forward multiplicative neural network architecture with optimum number of nodes is used for adaptive channel equalization in this paper.The replacement of summation at each node by multiplication results in more powerful mapping because of its capability of processing higher-order information from training data. Performance comparison with Chebyshev neural network show that the proposed equalizer provides satisfactory results in terms of mean square error convergence curves and bit error rate performance at various levels of signal to noise ratios.
منابع مشابه
Adaptive Channel Equalization Using Multiplicative Neural Network for Rayleigh Faded Channel
Problem statement: Digital transmission over band-limited communication channel largely suffers from ISIS and various noise sources. The presence of ISI and noise causes bit errors in the received signal. Equalization is necessary at the receiver to overcome these channel impairment to recover the original transmitted sequence. Traditionally equalization is considered as equivalent to inverse f...
متن کاملAdaptive B-spline neural network based nonlinear equalization for high-order QAM systems with nonlinear transmit high power amplifier
a r t i c l e i n f o a b s t r a c t Keywords: Quadrature amplitude modulation Peak-to-average power ratio Nonlinear high power amplifier Hammerstein channel B-spline neural network Equalization High bandwidth-efficiency quadrature amplitude modulation (QAM) signaling widely adopted in high-rate communication systems suffers from a drawback of high peak-to-average power ratio, which may cause ...
متن کاملComplex-Valued Neural Networks for Equalization of Communication Channels
The equalization of digital communication channel is an important task in high speed data transmission techniques. The multipath channels cause the transmitted symbols to spread and overlap over successive time intervals. The distortion caused by this problem is called inter-symbol interference (ISI) and is required to be removed for reliable communication of data over communication channels. I...
متن کاملQuadrature Amplitude Modulation All Optical Orthogonal Frequency Division Multiplexing-dense Wavelength Division Multiplexing-optical Wireless Communication System under Different Weather Conditions
This paper proposes an analytical model for evaluating the performance of dense wavelength division multiplexing (DWDM) for all optical orthogonal frequency division multiplexing (AO-OFDM) optical wireless channel. The investigated performance for proposed system is evaluated for the parameters bit error rate (BER) and Q factor .The constellation diagrams, and bit error rate (BER) of the recei...
متن کاملNonlinear Channel Equalization Using Multilayer Perceptrons with Information-theoretic Criterion
The minimum error entropy criterion was recently suggested in adaptive system training as an alternative to the mean-square-error criterion, and it was shown to produce better results in many tasks. In this paper, we apply a multiplayer perceptron scheme trained with this information theoretic criterion to the problem of nonlinear channel equalization. In our simulations, we use a realistic non...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
عنوان ژورنال:
دوره شماره
صفحات -
تاریخ انتشار 2009