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。
Nowadays, blind detection is represented by the constant modulus algorithm(CMA), High-order moment , Signal subspace.
目前盲方法以常模算法（CMA）、高阶矩、信号子空间、自适应方法为代表。
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。
The idea of affine projection and data-reusing in adaptive filtering field is applied to the modified constant modulus algorithm (MCMA).
该算法将自适应滤波领域中的仿射投影和数据重用思想引入修正常模算法(MCMA)盲均衡器。
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 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 equalizer of Digital Video Broadcast-Cable (DVB-C) receivers usually use the constant modulus algorithm (CMA) to calculate the initiate coefficients.
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。
For increasing the speed of convergence of the signed regressor constant modulus algorithm (SRCMA), a fast SRCMA algorithm suitable for real BPSK signals is presented.
为了加快符号回归常数模算法(SRCMA)的收敛速度，本文提出了一种适合于BPS K信号的快速算法。
In order to overcome the slow convergence rate of traditional CMA (Constant modulus algorithm), a Momentum algorithm based Constant modulus algorithm (MCMA) is proposed.
针对传统常数模算法收敛速度慢的缺点，提出了一种基于动量算法的常数模算法。
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).
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。
Based on subband decomposition technique, a new structure of fractionally spaced constant modulus algorithm (FSE-CMA) equalizer was proposed for wideband wireless transmission.
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。
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.
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。
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.
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。
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。
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。
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.
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。
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。
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。
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