Multi-wavelet feedback blind equalization method for nonlinear satellite channel

A satellite channel, non-linear technology, applied in the field of non-linear satellite communication, can solve the problems of low steady-state error, lack of application model and so on

Inactive Publication Date: 2014-10-08
NANJING UNIV OF INFORMATION SCI & TECH
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Problems solved by technology

[0003] If aiming at the defect of the Volterra model equalizer, the multiwavelet transform is introduced into the nonlinear satellite channel equalization, and according to the linear and nonlinear structure of the Wiener filter and the nonlinear structure characteristics of the decision feedback filter, the multiwavelet transform is used to change The structure of the Wiener

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  • Multi-wavelet feedback blind equalization method for nonlinear satellite channel
  • Multi-wavelet feedback blind equalization method for nonlinear satellite channel
  • Multi-wavelet feedback blind equalization method for nonlinear satellite channel

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Embodiment

[0116] In order to verify the effectiveness of the NMWT-CMA-DFE method of the present invention, the Volterra series model equalizer comparison object is used for experimental verification. In the experiment, the weight vector lengths of the Wiener equalizer linear model and nonlinear model are N=16 and M=3 respectively, and the initialization takes w(0)={1,0,…,0} T and f(0) = {1,0,...,0} T , the length of the feedback filter weight vector is 5, and the initialization takes f B (0)={0,0,0,0,0} T . The input signal of the system is selected as a random signal uniformly distributed in the range of [-1,1], the data length is 10000, and modulated into an APSK signal. The outer and inner radius ratio of the APSK signal constellation is 2.73, the square root raised cosine filter roll-off factor is 0.35, the sampling rate is 8, and the backoff power is 3. In MWT-CMA-DEF, the step size is 0.001 and 0.0008 respectively, the signal-to-noise ratio is 20, J=2, the average power is ini...

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Abstract

The invention discloses a multi-wavelet feedback blind equalization method for a nonlinear satellite channel. According to the characteristic of the satellite channel nonlinearity, the nonlinear satellite channel receives signals outputted by a filter, multi-wavelet transform is conducted on the signals, and then obtained signals are inputted in a Wiener balancer; in this way, the linear module structure and the nonlinear module structure of the Wiener balancer are established, and the satellite channel nonlinearity is compensated for through the nonlinear module structure of the Wiener balancer. Compared with a method adopting a Volterra model balancer, the method has the advantages that influences of the nonlinear satellite channel on communication quality are effectively eliminated, the convergence rate is high, the mean square error is small, and satellite communication quality is effectively improved.

Description

technical field [0001] The invention relates to the technical field of nonlinear satellite communication, in particular to a multi-wavelet feedback blind equalization method for nonlinear satellite channels. Background technique [0002] In a satellite communication system, the nonlinearity of the transmission channel is an important factor affecting the system performance. The channel nonlinearity is mainly caused by the nonlinearity of the satellite communication system transmitter and the high-power amplifier on the satellite transponder, channel fading and various distortions. An effective way to reduce this nonlinearity is to equalize at the receiving end , to achieve compensation for channel nonlinearity. At present, the Volterra model equalizer is mainly used, which has a complex structure, slow convergence speed, and large mean square error. Secondly, in satellite communication, with the increase of business demand, the selection of modulation mode plays a key role...

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Application Information

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IPC IPC(8): H04L25/03
Inventor 郭业才费赛男吴华鹏黄友锐
Owner NANJING UNIV OF INFORMATION SCI & TECH
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