A new blind equalization algorithm is proposed for QAM and PAM communication systems.
本文提出一种适合于PAM、QAM数字通信系统的新的盲均衡算法。
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。
Based on support vector machine blind equalization algorithm, the use of the input signal is QPSK.
基于支持向量机的盲均衡算法，使用的输入信号是QPSK。
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。
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。
This paper provides a Blind Equalization Algorithm based on data-reusing Constant Modulus Algorithm (CMA) for short burst signal.
提出一种适用于短突发信号的CMA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。
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。
Theoretical analysis and computer simulations show that the performances of the blind equalization algorithm are superior, and is very useful for practical application.
理论分析和计算机模拟表明，该算法具有较好的性能，是一种很实用的均衡算法。
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。
The blind equalization algorithm is "equanimous" and the characteristic of convergence is not influenced by distortion of channel, it is fit for equalizing deep attenuation channel.
该算法具有镇定性，其收敛性能不会受到失真信道的影响，适用于均衡衰落性严重的信道。
To solve the problem of slow convergence in the modified constant modulus algorithm (MCMA), a variable step and dual mode blind equalization algorithm is proposed, based on the MCMA algorithm.
常数模算法是一种最为常用的盲均衡算法，普遍应用于恒包络信号和非恒包络信号的均衡，但存在收敛速度慢和剩余误差大的缺点。
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。
To solve the problem of slow convergence in the modified constant modulus algorithm (MCMA), a variable step and dual mode blind equalization algorithm is proposed, based on the MCMA algorithm.
为解决修正常系数模板算法（MCMA）收敛速度缓慢的问题，在MCMA算法的基础上，给出了一种变步长双模式MCMA算法。
Computer simulations and theory analyses show that the proposed algorithm can speed up convergence rate and decrease state residual error compared with conventional CMA blind equalization algorithm.
经计算机仿真与理论分析表明，该算法与传统恒模算法相比，收敛速度加快，稳态剩余误差减小。
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 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。
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。
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。
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。
The algorithm has less computation process and higher computation precision than the traditional blind equalization method based on second-order statistics.
该算法具有比传统的基于二阶统计的盲均衡算法的计算过程和计算精度较高。
The simulation results showed that the new algorithm could control the local minimum, avoid the oscillation, and quicken the convergence speed of blind equalization procession.
仿真结果表明，该算法可有效抑制网络陷入局部极小，防止振荡，加快盲均衡器的收敛速度。
To avoid the problem of slow convergence this paper presents a fast blind acquisition equalization algorithm to improve the convergence of the conventional CMA.
为了克服传统恒模算法收敛速度慢的缺点，该文提出了一种用于捕获阶段的快速盲均衡算法。
The well-known constant modulus algorithm (CMA) is a very important approach for blind channel equalization.
著名的恒模算法（CMA）是一种重要的盲信道均衡方法。
The simulations show that the algorithm effectively improves the convergence rate for blind equalization, while guaranteeing satisfying convergence accuracy.
结果证明，该算法能够在保证收敛精度的基础上，有效提高盲均衡收敛速度，同时便于硬件实现。
The simulations show that the algorithm effectively improves the convergence rate for blind equalization, while guaranteeing satisfying convergence accuracy.
结果证明，该算法能够在保证收敛精度的基础上，有效提高盲均衡收敛速度，同时便于硬件实现。
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