Channel Equalization
Evolutionary MPNN for Channel Equalization
... Channel equalization plays an important role in digital communication systems. There are tremendous devel- opments in equalizer structures since the advent of neural networks in signal processing ...
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Concurrent blind channel equalization with phase transmittance RBF neural networks
... The proposed complex valued radial basis function (RBF) neural network with phase transmittance (PTRBFNN) outperforms the classical complex valued RBF neural network (RBFNN) for those channels which impose drastic phase ...
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Channel Equalization in Filter Bank Based Multicarrier Modulation for Wireless Communications
... Channel equalization in filter bank based multicarrier (FBMC) modulation is ...straightforward channel estimation-based methods to calculate the equalizer coefficients using pointwise ...
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Blind Channel Equalization by Adaptive Filter Algorithms
... Conventional equalization and carrier recovery algorithms for Minimizing Mean Square Error (MMSE) in digital communication systems generally require an initial training period during which a known data sequence is ...
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Fractionally Spaced Constant Modulus Algorithm for Wireless Channel Equalization
... Abstract—Wireless channel identification and equalization is one of the most challenging tasks because broadcast channels are often subject to frequency selective, time varying fading and there are several ...
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Enhancement in Channel Equalization Using Artificial Neural Network
... communication channel and can provide minimum mean square ...for channel equalization are optimized by this ...and equalization (ANN) technique will be compared with different optimization and ...
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Chip Level Channel Equalization in WCDMA Downlink
... style channel equalization at the chip level have been proposed for a WCDMA downlink employing long spread- ing sequences to ensure adequate performance even with a high number of active ...the ...
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Blind Channel Equalization Using Adaptive Signal Processing Algorithms
... Blind channel equalization, adaptive signal processing algorithm, constellation, convergence ...
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Performance Analysis and Comparison of Adaptive Filters for Wireless Channel Equalization
... Abstract: In this paper we have applied radial basis function neural networks for equalization of wireless channel in the presence of additive noise. We have been tested the adaptive filter algorithms of ...
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CHANNEL EQUALIZATION OF ADAPTIVE FILTERS USING LMS AND RLS ALGORITHMS
... The implementation and simulation of Adaptive filter using LMS and RLS algorithm have been done using MATLAB environment and their responses have been studied. The comparison on the adaptive filtering algorithms (namely ...
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Enhancement in Channel Equalization Using Particle Swarm Optimization Techniques
... This work proposes an improved inertia weight update method and position update method in Particle Swarm Optimization (PSO) to enhance the convergence and mean square error of channel equalizer. The search ...
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Blind Channel Equalization with Colored Source Based on Constrained Optimization Methods
... use channel equalization for white sources to remove the channel effect; and then finally inverse filter to recover the original ...blind channel equalization methods do not require ...
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Iterative channel equalization, channel decoding and source decoding
... the channel equalizer, the channel decoder and the source decoder, as shown in Figure ...The channel equalization and channel decoding form the inner ...
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Adaptive complex modified probabilistic neural network in digital channel equalization
... ADAPTIVE COMPLEX MODIFIED PROBABILISTIC NEURAL NETWORK IN DIGITAL CHANNEL EQUALIZATION.. James P.[r] ...
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The realization of automatic adaptive channel equalization
... in channel equalization, including communications system of radar and sonar beam forming, signal detection and many other aspects of the background ...in channel equalization problem such as ...
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Efficient channel equalization algorithms for multicarrier communication systems
... The proposed framework is compared with other learning-based equalization schemes, namely C-ELM, CRBF, CMRAN, k-nearest neighbor (k-NN) [88], back propagation (BP) neural network [82],[r] ...
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A new joint channel equalization and estimation algorithm for underwater acoustic channels
... underwater channel. As a result, transmitted signals in underwater acoustic channel (UAC) have more severe inter-symbol interference (ISI) due to complex multi-path propagation in contrast to other kinds of ...
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Channel Equalization for Single Carrier MIMO Underwater Acoustic Communications
... estimated channel impulse responses (CIRs) for the two-transducer eight- hydrophone MIMO transmissions with BPSK and QPSK modulations, ...MIMO channel with 8PSK modulation was similar to that depicted in ...
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Frequency domain concurrent channel equalization for multicarrier systems
... rate at the transmitter [4], so that after discarding the guard interval, the received / D - , $ −spaced complex baseband sequence is stored in two input buffers of size , $ at the FFT input. It is assumed that the ...
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Channel equalization using watermark as a training sequence
... Trained equalization is a technique widely used to cope with ...the channel and with the help of received and already known training sequence channel is ...trained equalization scheme works ...
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