blind channel equalization algorithm
Blind Channel Equalization with Colored Source Based on Constrained Optimization Methods
... direct blind equal- ization method by incorporating the constrained minimum output variance (CMOV), which is widely used in array sig- nal ...their algorithm, the blind equalizer achieves a ...
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Blind Channel Equalization Using Adaptive Signal Processing Algorithms
... the blind channel equalization using least mean square (LMS) algorithm and its ...of channel equalizers with short training time, high tracking rate, high data rate and ...LMS ...
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Blind Channel Equalization Using Constrained Generalized Pattern Search Optimization and Reinitialization Strategy
... spaced blind equalization method based on GPS and CSR has been presented in detail and compared to the CMA ...static channel presenting a single deep fading and mixed phase has been ...
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Concurrent blind channel equalization with phase transmittance RBF neural networks
... of channel equalization, d ( ) n is the original transmitted IQ symbol training sequence whose values are stored in a look up table at the receiver as reference data for the learning ...a blind ...
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A Modified Algorithm with Variable Step Size for Blind Equalization of QAM Signals
... Adaptive channel equalization accomplished without a training sequence is known as blind ...Modified Algorithm with a variable Step Size (MA_VSS) Control Technique can be employed MA which ...
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Fast Adaptive Blind MMSE Equalizer for Multichannel FIR Systems
... adaptive algorithm with SNR = 15 ...the algorithm, a relatively fast conver- gence rate is ...ing channel case, the tracking performance of the adaptive algorithm using respectively, YAST and ...
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A Modified T/2 Fractionally Spaced Coordinate Transformation Blind Equalization Algorithm
... Input signal is sampled by the rate of in T/2 frac- tionally spaced equalizer. It avoids spectrum aliasing by sub-sampling and compensates distortion of channel [19,20]. The real and imaginary parts of input ...
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A Gaussian Mixture Approach to Blind Equalization of Block-Oriented Wireless Communications
... consider blind equalization for block transmissions over the frequency selective Rayleigh fading ...joint equalization and blind channel ...a blind Bayesian equalization ...
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A Generalized Algorithm for Blind Channel Identification with Linear Redundant Precoders
... frequency-selective. Channel coe ffi cients are often unknown to the receiver so that channel identification needs to be done before equalization can be ...unknown channel coefficients, ...
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Deterministic Blind Subspace MIMO Equalization
... estimate of the channel from the i th trial. Figure 6a shows the NRMSE versus SNR for di ff erent algorithms. In Figure 6b we have shown the bit error rate (BER) in estimating the transmitted sequences for the ...
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Constant modulus algorithm aided soft decision directed blind space time equalization for SIMO channels
... a blind STE designed for the SIMO channel by employ- ing a transmitter using a single antenna and a receiver employing multiple ...this blind adaptive scheme to that of a CMA and decision directed ...
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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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Blind Adaptive Equalization for Channel Noise Cancellation
... (3) where J is the Jacobian matrix, which is a vector (the gradient) for scalar-valued functions. The full Hessian matrix can be difficult to compute in practice; in such situations, quasi-Newton algorithms have been ...
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Blind Channel Equalization by Adaptive Filter Algorithms
... an algorithm based on ZF and MMSE methods for blind channel equalization, which is compared with adaptive filter algorithms which are Constant Modulus Algorithm (CMA), Fractional Space ...
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Blind Adaptive Channel Equalization with Performance Analysis
... as 4 for the proposed algorithm. Thus, we have Q = 11. Figure 1 shows the performance degradation at di ff erent in- put SNR. It is shown that the iterative method using (37) significantly improves the performance. ...
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Blind Channel Estimation and Equalization for Multiple FIR Channels
... detection algorithm based on the examination of an indicator function con- structed from initial channel estimates containing an addi- tional common polynomial ...the channel estimation algo- ...
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Adaptive Kernel Canonical Correlation Analysis Algorithms for Nonparametric Identification of Wiener and Hammerstein Systems
... RLS algorithm presents some crucial difficulties [33] that are not present in standard online settings for lin- ear ...RLS algorithm, this trans- lates into an algorithm based on a growing kernel ...
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Evolutionary MPNN for Channel Equalization
... J = e p q n + (8) The error generated at the output of equalizer should be minimized to give an acceptable solution. The initial condition for the equalizer model is derived from the Decision Feedback Equalization ...
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Wideband Burst by Burst Adaptive Modulation Using Reduced Complexity In Phase/Quadrature Phase Turbo Equalization
... Figure 5 illustrates the schematic of the turbo equalizer utilising two reduced complexity I/Q-EQs. Since the Log- MAP algorithm [16] is employed in the I/Q-EQ and in the channel decoder, the soft decisions ...
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An Unsupervised and Drift-Adaptive Spike Detection Algorithm Based on Hybrid Blind Beamforming
... existing blind devonvolution methods which assume a finite alphabet or binary sources such as [44–47], we also made use of the spareness property and formulated a statistical algorithm (as opposed to deter- ...
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