4 results about "Blind equalization algorithm" patented technology

Aiming at the problem of signal nonlinear distortion caused by nonlinear characteristics of a power amplifier in satellite communication, the invention provides a generalized linear dual-mode switching blind equalization algorithm based on a third-order truncated Volterra structure, and the technical scheme and the application effect are expanded according to the following steps S1 to S3: S1: initializing parameters of a generalized linear blind equalizer based on the third-order Volterra structure; s2, taking a modified constant modulus algorithm and a decision-oriented least mean square algorithm in the linear blind equalization field as theoretical basis, combining signal processing characteristics of a third-order truncated Volterra nonlinear model, deriving to obtain two generalized linear equalizer tap updating formulas suitable for the nonlinear model, and providing algorithm support for a dual-mode equalization mechanism; s3, adopting a staged adaptive equalization strategy to construct a switching mechanism: in an equalization initial stage, using a generalized linear correction constant modulus algorithm of a nonlinear channel, and utilizing a rapid convergence characteristic of the algorithm to realize rapid reduction of a mean square error; and when the equalization process reaches a preset judgment condition, automatically switching to a generalized linear judgment guide algorithm of a nonlinear channel, further reducing the steady-state error through judgment feedback, and considering both the convergence speed and the equalization precision.

The application discloses a signal recovery method of weighted channel equalization and carrier synchronization combination, and belongs to the field of high-frequency wireless communication.The application realizes the method as follows: a constant modulus blind equalization algorithm is used to quickly estimate a channel, signal amplitude is quickly converged, and a carrier offset is preliminarily obtained, and the interference of channel characteristics on carrier offset estimation and compensation is weakened; a feedback mechanism is used to feed back residual errors of a signal compensated with a carrier parameter after carrier synchronization to an equalization module to participate in the estimation of inter-symbol interference and channel characteristics; the equalization errors of different equalization algorithms are calculated according to the signal residual errors obtained by using a decision-directed algorithm, the weights of the equalization errors in the joint errors are calculated, the joint errors are dynamically adjusted, the signal residual error weights are gradually improved, the complex channel environment is accurately estimated, the tap coefficients are updated and compensated according to the joint errors, the accuracy of the recovery of new symbols coming at the next moment is improved, and the robustness and accuracy of the demodulation and recovery of high-frequency signals are improved.

An LMS-FNNCMA algorithm for MIMO equalization belongs to the field of optical fiber communication technology. Switches A1 and A2 are turned on, and the training input signal is passed through a transverse filter. The weight coefficients are then adjusted using the LMS algorithm to continuously approximate the known desired response d(n). After the learning process is complete, the transverse filter reaches its optimal design. Its weight coefficients are then fixed, and switches B1 and B2 are turned on to filter the working input signal. Then, based on the cost function method, a suitable nonlinear activation function is selected through the neural network coefficients continuously adjusted by the blind equalization algorithm to perform a second filtering operation on the working input signal y(n) after the LMS algorithm filtering, finally obtaining the decision output after passing through the decision unit.

The application discloses a data processing method and device, a first device, a storage medium and a computer program product. The method comprises the following steps: the first device receives a first signal sent by a second device, the second device supports sending first signals with different rates in different time slots; and the first signal is subjected to equalization processing based on a blind equalization algorithm or a tap coefficient corresponding to a first rate of the first signal.