A MLPBP-based Equalizer for N R Z Signal Recovery in Band-Limited Channels
نویسندگان
چکیده
A multi-layered perceptron neural network with backpropagation algorithm (MLPIBP) is realized as an equalizer for nonreturn-to-zero (NRZ) signal recovery in band-limited channels. It is applied as an adaptive filter to recover the NRZ signal. By computer simulations, the proposed design can recover 100 MHz NRZ data in 10 MHz channel.
منابع مشابه
MLP/BP-based Decision Feedback Equalizers with High Skew Tolerance in Band-Limited Channels
A multi-layered perceptron neural network with backpropagation algorithm (MLP/BP) is realized as a waveform equalizer for distorted nonreturn-to-zero (NRZ) data recovery in band-limited channels. Moreover, the proposed approach can tolerate sampling clock skew and channel response variance. According to simulation results, the proposed design can recover severe distorted NRZ data with better pe...
متن کاملMulti-Input Multi-Output MLP/BP-based Decision Feedback Equalizers for Overcoming Intersymbol Interference and Co-Channel Interference in Band-Limited Channels
This paper presents a multi-input multi-output (MIMO) multi-layered perceptron neural network with backpropagation algorithm (MLP/BP). The proposal is a waveform equalizer for distorted nonreturn-to-zero (NRZ) data recovery in band-limited channels with co-channel interference (CCI). From the simulation results, we note that the proposed design can recover severe distorted NRZ data as well as s...
متن کاملJoint Timing Recovery and Turbo Equalization for Coded Partial Response Channels
We propose a method for jointly performing timing recovery and turbo equalization on partial response channels with error-correction codes. The proposed detector uses soft decisions from previous turbo iterations to improve timing estimates before the next, and each iteration is only marginally more complex than that of a conventional turbo equalizer. As compared to a conventional receiver with...
متن کاملNonlinear equalizer for CDMA in fading channels - Vehicular Technology Conference, 2001. VTC 2001 Spring. IEEE VTS 53rd
In this work we present a n adaptive interference canceler in mult iuser and multipath scenarios. The detector has two key elements: a n adaptive algorithm f o r separating the signal subspace f r o m the noise subspace and a decision feedback equalizer based o n the Generalized Cerebellar Model Art iculat ion Controller (GCM A C ) neural network. Examples demonstrate the performance of this eq...
متن کاملSpoofing Mitigation of GPS Receiver using Least Mean Squares-Based Adaptive Filter
The Global Positioning System (GPS) signals are very weak signal over wireless channels, so they are vulnerable to in-band interferences. Therefore, even a low-power interference can easily spoof GPS receivers. Among the variety of GPS signal interference, spoofing is considered as the most dangerous intentional interference. The spoofing effects can mitigate with an appropriate strategy in the...
متن کامل