Satellite channel complex-valued neural polynomial network blind equalization system and method

A technology of satellite channel and single-layer neural network, which is applied in the field of satellite channel complex neural polynomial network blind equalization system

Active Publication Date: 2015-12-16
湖南赛德雷特空间科技有限公司
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Problems solved by technology

However, there is still a lack of satellite channel blind equalization method combining complex neur

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  • Satellite channel complex-valued neural polynomial network blind equalization system and method
  • Satellite channel complex-valued neural polynomial network blind equalization system and method
  • Satellite channel complex-valued neural polynomial network blind equalization system and method

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Embodiment Construction

[0077] The technical scheme of the present invention will be further described in detail below in conjunction with the accompanying drawings:

[0078] The complex neural polynomial network and the fuzzy neural network controller are combined and applied to a satellite channel blind equalization method. The present invention realizes a satellite channel complex neural polynomial network blind equalization method.

[0079] On the basis of making full use of the advantages of CNP and FNN, the present invention uses a single-layer neural network in a complex neural polynomial network to realize compensation for the linear characteristics of satellite channels, and a nonlinear processor is used to process the nonlinear characteristics of satellite channels; by the fuzzy neural network The controller automatically controls the iteration step size when the weight vector of the complex neural polynomial network blind equalization method is updated, thereby improving the performance of the b...

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Abstract

The invention discloses a satellite channel complex-valued neural polynomial network blind equalization system and a method. According to the invention, a complex-valued neural polynomial network is adopted as a blind equalization module, wherein a single-layer neural network is used to compensate the linear characteristic of a satellite channel, and a nonlinear memoryless processor is used to compensate the nonlinear characteristic of the satellite channel. A six-layer fuzzy neural network controller is designed by building fuzzy control rules, and a sixth-layer weight vector is adjusted by a fixed-step constant modulus approach. The six-layer fuzzy neural network controller controls the iteration step length of the weight vectors of the single-layer neural network and the nonlinear memoryless processor at high precision. The satellite channel complex-valued neural polynomial network blind equalization system has the advantages of simple structure, high convergence rate and small steady-state error. The problem of high complex-valuedity is well solved. The contradiction between convergence rate and mean square error is overcome effectively.

Description

Technical field [0001] The invention relates to a satellite channel complex neural polynomial network blind equalization system and method, and belongs to the technical field of complex neural polynomial network blind equalization methods in satellite communications. Background technique [0002] With the increase in demand for satellite broadband services, spectrum resources tend to be in short supply. How to invent effective methods to efficiently use satellite frequency band resources and obtain high-quality satellite communications is a hot topic for scientists and engineers in various countries. In the satellite communication system, in order to use the power on the satellite as effectively as possible, the High Power Amplifier (HPA) mostly works near the saturation point, and the resulting nonlinear distortion seriously restricts the transmission power and transmission efficiency. [0003] At present, the effective method to solve this problem is to use Volterra normal mode e...

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Application Information

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IPC IPC(8): H04L25/03
CPCH04L25/03089H04L25/03165
Inventor 郭业才张珊陆璐禹胜林
Owner 湖南赛德雷特空间科技有限公司
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