著名的恒模算法（CMA）是一种重要的盲信道均衡方法。
The well-known constant modulus algorithm (CMA) is a very important approach for blind channel equalization.
这种新算法比矩阵恒模算法表现出更快的收敛速度、更好地抑制噪声的性能。
This new algorithm has better converge and interference suppressors performance than what Matrix CMA algorithm has.
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。
This paper presents variable step dual model constant modulus algorithm, which combine with neural network for blind equalization in nonlinear channel.
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。
To avoid the problem of slow convergence this paper presents a fast blind acquisition equalization algorithm to improve the convergence of the conventional CMA.
提出了一种基于子带分解技术的分数间隔恒模算法(FSE - CMA)的宽带均衡器结构。
Based on subband decomposition technique, a new structure of fractionally spaced constant modulus algorithm (FSE-CMA) equalizer was proposed for wideband wireless transmission.
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。
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.
在数字视频广播有线标准接收机的盲均衡器中，通常采用恒模算法(CMA)进行系数的初始化计算。
Blind equalizer of Digital Video Broadcast-Cable (DVB-C) receivers usually use the constant modulus algorithm (CMA) to calculate the initiate coefficients.
理论分析和仿真结果表明改进的变步长线性约束恒模算法分别从收敛性能和稳态性能方面得到了改善。
Theoretical analysis and computer simulation show the variable step LCMA has been improved in both aspects of convergence performance and stability performance.
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。
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).
基于包含信号到达方向(doa)的信道模型，推导出了CMA空时联合恒模算法，并分析了其收敛特性。
Based on a channel model containing the information of the direction of arrivals (DOA), the spatial-temporal combined CMA was derived and it's convergence properties were analyzed.
采用一种修正恒模算法(MCMA)，该算法使修正的误差函数最小并且自适应学习率由接收序列即时调整。
In the paper, a modified constant modulus algorithm (MCMA) is proposed. The proposed algorithm minimizes a modified error function and the learning-rate is multiplied by received sequences.
理论分析和计算机仿真实验均表明，新算法与传统的恒模算法相比，具有更快的收敛速度和更小的稳态剩余误差。
The theoretical analysis and the simulation results proved to show that the new algorithm has improved performance of the convergence speed and residual error than traditional CM algorithm.
理论分析和计算机仿真实验均表明该算法与传统的恒模算法相比，都具有更快的收敛速度和更小的稳态剩余误差。
Theoritical analyse and computer simulation both shows the new one has faster convergent speed and less steady error than traditional constant-modulus algorithms.
该算法基于恒模算法(CMA)，计算机仿真结果显示该算法收敛快速，性能稳定，能准确地完成多用户的分离。
This algorithm is based on constant module algorithm (CMA). The computer simulation results indicate that this algorithm have several advantages such as fast convergence, robustness and so on.
通过分析CDMA系统的特点，提出码滤波最小二乘恒模算法（CF-LSCMA），保证了恒模阵列能够应用于CDMA系统。
Through analyzing on the features of CDMA system, this paper advance the CF-LSCMA algorithm, which guarantees the constant modulus array could be applied in CDMA system.
该算法在现有的恒模算法(CMA)的基础上，进行了一定的改进，充分利用了CDMA系统中扩频波形信息和信号的恒模特性。
This algorithm, an improved method based on CMA (constant modulus algorithm), utilizes the information of spread codes and the performance of constant modulus in CDMA communication system.
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。
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.
该算法无需预编码或恒模调制。
The method does not need precoding or constant-modulus (CM) modulating.
并结合调制信号的恒模特性，提出了基于广义峭度的恒模盲信号提取算法。
Jointed the constant module (CM) character of digital modulated signal, the CM generalized kurtosis algorithm is deduced.
前一种算法根据最小恒模误差准则给出了求解加权矢量的新的代价函数，并使用直接搜索法计算对角加载值的最优解。
The former presents a novel cost function based on MCME criteria for the weight vector of antenna array, with direct searching method searching for optical diagonal loading value.
前一种算法根据最小恒模误差准则给出了求解加权矢量的新的代价函数，并使用直接搜索法计算对角加载值的最优解。
The former presents a novel cost function based on MCME criteria for the weight vector of antenna array, with direct searching method searching for optical diagonal loading value.
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