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76 results about "Nonlinear equalization" patented technology

Highly linear analog-to-digital conversion system and method thereof

A highly linear analog-to-digital (ADC) conversion system has an analog front-end device in cascade with a standard ADC converter, and a tunable digital non-linear equalizer. The equalizer corrects the quantization distortion, deviations from ideal response, and additive noises generated by the analog front-end device and ADC converter. The equalizer is formed by three main parts: Generate Function Streams Unit, Finite Impulse Response FIR filters and a summer. The equalizer receives the unequalized output from the ADC converter and generates a plurality of monomial streams in a systolic fashion. Each of the monomial streams is passed through a corresponding linear finite impulse response FIR filter. A convolution sum of all outputs from the FIR filters produces a unique equalized output with the non-linear distortion reduced to a satisfactory level. The FIR filter coefficients are determined by an Identity Equalizer Coefficient Unit, and a Test Signal Generator with different types of test signals. The FIR filter coefficients are set to minimize an error function.
Owner:MASSACHUSETTS INST OF TECH

Non-linear equalizer in a coherent optical receiver

A method of recovering a most likely value of each symbol transmitted through an optical communications network using a high speed optical signal. A stream of multi-bit digital samples of the optical signal is processed to generate a respective multi-bit estimate X′(n) of each transmitted symbol. A first function is applied to each symbol estimate X′(n) to generate a corresponding soft decision value {tilde over (X)}(n). Each soft decision value {tilde over (X)}(n) is processed to generate a corresponding hard decision value. {circumflex over (X)}(n) having an ideal amplitude and phase. A plurality of successive soft decision values and hard decision values are processed to determine a second function, which is applied to each soft decision value {tilde over (X)}(n) to generate a most likely symbol value {circumflex over ({circumflex over (X)}(n).
Owner:CIENA CORP

Optical fiber nonlinear equalization method for 64-QAM (Quadrature Amplitude Modulation) coherent optical communication system

The invention discloses an optical fiber nonlinear equalization method for a 64-QAM (Quadrature Amplitude Modulation) coherent optical communication system used for processing received 64-QAM data. The method comprises the following steps: setting a received data set as a first-level data set, calculating the density parameter of each data point, setting a threshold, and selecting the data with the density parameter exceeding the specified threshold as a second-level data set; demodulating second-level data set points, dividing the second-level data set points into 64 clusters, and obtaining 64 centroids; according to the obtained centroids, classifying data in the second-level data set into a corresponding cluster according to the nearest Euclidean distance, and using 64 centroids of a newly obtained cluster to update; and allocating the first-level data set to the corresponding cluster according to the nearest Euclidean distance, obtaining the classified 64 clusters, and calculatingto obtain an optimal centroid of each cluster. The optical fiber nonlinear equalization method for the 64-QAM coherent optical communication system provided by the invention can quickly and accuratelyselect a global optimal centroid of a K-means cluster without the need of iteration, well reduce the influence of Kerr nonlinearity in an optical fiber, and the obtained bit error rate performance isone half an order of magnitude higher than the performance that is not processed before.
Owner:SUZHOU UNIV

Integrating volterra series model and deep neural networks to equalize nonlinear power amplifiers

The nonlinearity of power amplifiers (PAs) has been a severe constraint in performance of modern wireless transceivers. This problem is even more challenging for the fifth generation (5G) cellular system since 5G signals have extremely high peak to average power ratio. Nonlinear equalizers that exploit both deep neural networks (DNNs) and Volterra series models are provided to mitigate PA nonlinear distortions. The DNN equalizer architecture consists of multiple convolutional layers. The input features are designed according to the Volterra series model of nonlinear PAs. This enables the DNN equalizer to effectively mitigate nonlinear PA distortions while avoiding over-fitting under limited training data. The non-linear equalizers demonstrate superior performance over conventional nonlinear equalization approaches.
Owner:THE RES FOUND OF STATE UNIV OF NEW YORK

Organic visible light communication system and adaptive nonlinear equalizer based on Volterra series

The invention discloses an organic visible light communication system and an adaptive nonlinear equalizer based on Volterra series. The organic visible light communication system comprises a white light OLED arranged on a sending end, and an optical lens, a photoelectric detector and the adaptive nonlinear equalizer based on Volterra series, which are arranged on a receiving end and are connected in sequence; the white light OLED is used as a light source, the optical lens and the photoelectric detector perform photoelectric signal conversion on a received optical signal and output an electric signal to the adaptive nonlinear equalizer based on Volterra series; and the adaptive nonlinear equalizer based on Volterra series is used for inhibiting the nonlinear distortion of the white light OLED having a memory effect and improving the effective SNR of the electric signal. The scheme can inhibit the nonlinear distortion of the organic visible light communication system to a certain extent, so that the effective SNR can be effectively improved, the transmission distance is increased while satisfying a certain error rate threshold, and thus the overall performance of the organic visible light communication system is improved.
Owner:UNIV OF SCI & TECH OF CHINA

Ultra wideband interference suppression technique of minimum bit error rate criterion

The invention discloses an ultra wideband interference suppression technique of minimum bit error rate criterion, which comprises the following steps of: 1, establishing a nonlinear equalizer model; 2, establishing a target function by using minimum bit error rate as criterion; and 3, adjusting the equalizer parameter by adopting a sliding window random gradient algorithm. The bit error rate of asystem is lower, the interference suppression capability of the system is stronger, the nonlinear function has better approximation performance, and the nonlinear equalizer has more excellent interference suppression capability; the system is simple to control, and the nonlinear equalizer can be switched between the minimum bit error rate criterion and the minimum mean square error criterion; thetechnique is simple to implement, the parameter can be adaptively adjusted, and the parameter of the equalizer can be adaptively adjusted on line by using the sliding window random gradient algorithm; and the technique has wide application range, is used for narrowband interference suppression of an ultra wideband communication system, and is also used in the fields of interference suppression, mode identification and the like of other communication systems.
Owner:NINGBO UNIVERSITY OF TECHNOLOGY

De-emphasizing cable equalizer

In accordance with the teachings described herein, an extended equalizer circuit is provided for equalizing a digital communication signal transmitted over a transmission medium that causes a frequency-dependent attenuation of the digital communication signal. An equalizer may be used that includes a linear equalization circuit and a non-linear equalization circuit, the linear equalization circuit being configured to apply a linear filter to the digital communication signal to compensate for the frequency-dependent attenuation caused by a first portion of the transmission medium, and the non-linear equalization circuit being configured to apply one or more non-linear operations to the digital communication signal. A de-emphasizing equalizer circuit may be coupled in series between the transmission medium and the equalizer and configured to apply an additional linear filter to the digital communication signal in order to compensate for the frequency-dependent attenuation caused by a second portion of the transmission medium
Owner:SEMTECH CANADA

Framing scheme for continuous optical transmission systems

ActiveUS20160359644A1Robustness against pattern depended effects is increasedElectromagnetic network arrangementsDistortion/dispersion eliminationChannel state informationData segment
An optical communication system with nonlinear equalization capability for equalizing distortions of a data communication channel, which comprises a processor for periodically gathering a predetermined number of consecutive data segments from an input data stream to a group and adding a known pilot sequence to the group, thereby forming a data frame; an optical transmitter at the input of the channel, for transmitting the data frames to a receiver, over the channel; a receiver at the output of the channel, for detecting the transmitted frames, the receiver including a demodulator. The demodulator is adapted to recover the pilot sequence of each frame; compare each recovered pilot sequence which its corresponding original transmitted pilot sequence; extract the current Channel State Information indicative of changes in the channel distortion, using the comparison results; use changes in the Channel State Information for updating the coefficients of the estimator and of the equalizer, every time a frame is received; and equalize the channel estimator and of said equalizer, every time a frame is received; and equalize the channel using the equalizer coefficients, and based on the current Channel State Information.
Owner:MULTIPHY

Nonlinear equalization method based on weighted principal component analysis

The invention discloses a nonlinear equalization method based on weighted principal component analysis, which belongs to the field of optical fiber communication, and comprises the following steps of: extracting complete frame data at a receiving end, performing downsampling and amplitude normalization on the complete frame data, and nonlinearly mapping the complete frame data into a Walterra series matrix by adopting a sliding window mode; calculating a weighted covariance matrix of the Woltzia series matrix by using the first weight vector, carrying out eigenvalue decomposition on the weighted covariance matrix, forming a principal component projection matrix by using a part of eigenvectors with the maximum eigenvalue, and multiplying the Woltzia series matrix by the principal component projection matrix to obtain a principal component matrix; performing weighted summation on each principal component in the principal component matrix by using the second weight vector to obtain an output signal subjected to nonlinear equalization; wherein the first weight vector is used for representing the weight of each Walterra kernel corresponding to the same sliding window, and the second weight vector is used for representing the weight of each principal component. According to the invention, the complexity can be reduced and the equalization performance deterioration can be avoided.
Owner:HUAZHONG UNIV OF SCI & TECH

Visible light communication equalization method and system based on sparse Bayesian learning

The invention relates to a visible light communication equalization method and system based on sparse Bayesian learning. The method comprises the following steps: acquiring an electric domain signal from a photoelectric detector; constructing a nonlinear equalizer by taking Volterra series as a basic framework and adopting a sparse Bayesian learning method and a Kalman filtering iteration method;performing adaptive compensation on the electric domain signal by using the nonlinear equalizer, and recovering an original sending symbol. According to the visible light communication equalization method and system based on sparse Bayesian learning provided by the invention, the adaptive compensation of complex dynamic nonlinearity and multipath transmission damage of a VLC system can be realized, and the communication performance of the VLC system is improved.
Owner:QINGDAO UNIV
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