A novel criterion of blind equalization is introduced for communication channels.
本文对于通信信道提出了一种新的盲均衡准则。
Blind equalization techniques rely on solely the received channel output signal to adjust the equalizer weights without a known training sequence available.
盲均衡就是不借助于训练序列而仅仅利用接收序列就实现均衡的一种新兴的均衡技术。
Traditionally, blind channel identification and equalization are all based on high order statistics.
传统的盲信道辨识和均衡都是基于高阶统计算法。
It only USES operations for comparison and few multiplication and addition so that the computational costs are much lower than that of usual blind equalization algorithms.
新算法主要的运算为比较运算，只用到了少量的乘、加运算，所以计算量远小于通常的盲均衡器算法。
Therefore, this thesis investigates application of blind equalization technique in high speed underwater acoustic communication.
因此，本论文主要研究盲均衡技术在高速水声通信系统中的应用。
In this paper, we present an ISI model in which we consider the nonlinear nature of the channel and introduce blind equalization method to debase the ISI.
本文考虑了体全息存储信道的非线性特点，提出了页内串扰的模型，并引入了盲均衡化的方法来降低页内串扰。
The constant modulus blind equalization technique is investigated over a slow Rayleigh fading ionospheric channels with additive white Gaussian noise.
研究通过具有加性高斯白噪声的瑞利慢衰落电离层信道的恒模盲均衡技术。
This blind equalization algorithm can work with a noncoherent decoder, resulting in a low-complexity and completely blind method for decoding in the present of ISI.
这种均衡器可以和非相干检测器配合使用，从而在存在码间干扰的情况下实现低复杂度的完全盲均衡。
A blind equalization algorithm based on constant modulus and sparse underwater acoustic channel is presented according to the sparse characteristic of the high rate underwater acoustic communications.
针对高速水声通信中信道的稀疏特性，提出了一种基于常数模准则的稀疏水声信道判决反馈盲均衡算法。
This paper proposes and discusses a blind equalization algorithm for multilevel digital communication systems.
本文提出并讨论了一个适用于多电平数字通信系统的盲均衡算法。
This paper presents variable step dual model constant modulus algorithm, which combine with neural network for blind equalization in nonlinear channel.
尝试提出了变步长双模式恒模算法，并与神经网络结合应用于盲均衡研究中。
Based on maximum kurtosis criteria, a new blind identification and equalization algorithm is designed for linear system.
根据最大峰度准则设计了一种针对线性系统的盲辨识与盲均衡算法。
Based on QAM modulation and constant modulus algorithm (CMA), a novel blind equalization algorithm, the construction function (CF) algorithm is proposed.
基于QAM调制信号及常模算法(CMA)，提出一种新的盲均衡算法—构造函数(CF)算法。
Blind identification and equalization has been received considerable attention recently in communication and signal processing, the main work of this dissertation is on this topic.
近年来，盲信道辨识与均衡在通信和信号处理领域已经受到普遍关注。
A new blind equalization algorithm based on diagonal recurrent neural networks (DRNN) is proposed.
提出了一种基于对角递归神经网络的盲均衡算法。
A new variable step-size CMA blind equalization algorithm is introduced to conquer the defects of CMA, in which the step size is controlled by the estimation of error signal's autocorrelation.
提出了一种自适应变步长恒模盲均衡算法，利用剩余误差信号的自相关函数估计值作为控制步长的因子来自适应改变步长的大小，克服了恒模算法存在的固有缺陷。
The starting point of this paper is to make use of the Unscented Transform (UT) and the modeling technique for signal, and a blind equalization algorithm is then proposed.
其出发点是利用基于无先导变换，并组合信号建模技术，进而提出一种盲均衡算法。
Simulation results show the DD-LLMS (decision Directed-LLMS) blind decision feedback equalization algorithm has better stability, fast convergence rate and good tracking ability.
仿真结果表明这种DD - LLMS盲判决反馈均衡算法具有很好的稳定性、较快的收敛速度和较好的跟踪性能。
In the last few years, blind equalization techniques have gained an increasing interest. The most popular blind adaptation algorithm is the constant modulus algorithm (CMA).
近些年来盲信道均衡引起了人们极大的兴趣，其中应用最广泛的自适应均衡算法是盲信道均衡恒模算法。
This paper researches blind equalization ruler, analyses the knowledge of HOS and summarizes some algorithms based on the HOS.
本文分析了盲均衡准则，阐述了高阶统计量的基础知识，总结了基于高阶统计量的几种盲均衡算法。
A robust dead-beat synchronization method was presented for discrete chaotic systems using adaptive channel blind equalization and dead-beat chaotic synchronization.
结合自适应信道盲均衡和离散混沌系统的稳健差拍同步提出了一种存在信道畸变时的离散混沌系统的稳健差拍同步方法。
In this paper, a new complex-valued blind equalization algorithm based on the feedforward neural network (N-FNN) is proposed.
提出了一种新的前馈神经网络(N - FNN)复值盲均衡算法。
In this paper, the problem of blind identification and blind equalization of digital communication systems based on the second-order statistics (SOS) are addressed.
本文主要介绍了基于二阶统计量(SOS)的数字通信系统的盲辨识和盲均衡。
We apply sparse signal processing to QAM blind equalization.
我们将稀疏信号处理应用于QAM盲均衡。
Blind equalization is one of the key technologies of blind demodulation to compensate the channel distortion.
盲均衡是实现信号盲解调的关键技术之一，是补偿信道失真的重要手段。
Blind equalization is an effective way to suppress the inter-symbol interference (ISI), which is caused by multipath fading communication channels.
在数字通信中，盲均衡是克服多径衰落信道导致的码间干扰的一种有效方法。
Therefore, this dissertation investigates the application of blind equalization technology in an acoustic communication system.
因此，本论文主要研究盲均衡技术在水声通信系统中的应用。
Therefore, this dissertation investigates the application of blind equalization technology in an acoustic communication system.
因此，本论文主要研究盲均衡技术在水声通信系统中的应用。
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