1) Novel CM algorithm
新的常模算法
2) Constant modulus algorithm
常模算法
1.
The method is called linear constraint conjugate gradient constant modulus algorithm based on adaptive step size.
克服多址干扰对CDMA系统的影响,该文研究了CDMA下行链路中的多用户检测问题,提出了一种新的盲检测算法,即最优自适应步长的线性约束共轭梯度常模算法(M-LCCGCMA)。
2.
A variable step-size multi-modulus blind equalization algorithm is proposed based on the cost function of constant modulus algorithm.
讨论了常模类自适应盲均衡技术,总结了改进和设计常模类盲均衡算法的思路,在常模算法代价函数的基础上给出了一种变步长多模算法。
3.
This paper studies blind multi-user receive technology,using constant modulus algorithm to stimulate capacity of different algorithms and evaluate two constant modulus algorithms by calculating output SIR and BER.
本文研究的是CDMA下行链路的盲多用户接收技术,采用常模算法,针对不同的算法性能进行仿真。
3) CMA
常模算法
1.
This paper proposes an improved linearly constrained conjugate gradient constant modulus algorithm(M-LCCGCMA),which uses the best adaptive step size to optimize the existing algorithm and derives the analytical form of step size.
提出了一种改进的线性受限共轭梯度常模算法,称之为M-LCCGCMA。
2.
This paper introduced the constant modular algorithm(CMA) method for the request of adaptive equalization in the time-varying channel.
针对时变信道需要进行自适应均衡的要求,分析了最常用的常模盲均衡算法,对常模算法的缺点进行了分析,通过修正常模算法的迭代公式,提出了一种基于最优控制步长的改进常模算法,并给出了改进算法的仿真结果。
3.
This paper proposes a Modified linearly constrained condition conjugate gradient constant modulus algorithm based on the adaptive step size(M-LCCGCMA),which uses the best adaptive step size to optimize the LC-CGCMA and its analytical form is deduced.
提出了一种改进的线性受限共轭梯度常模算法(M-LCCGCMA),其核心是采用在最优自适应步长的方法对算法进行优化,并推导出步长的解析形式。
4) Constant modulus algorithm(CMA)
常模算法
1.
A new constant modulus blind equalization using a real coded genetic algorithm(GA) is presented for improving the performance of the standard constant modulus algorithm(CMA).
为了改进经典常模算法的性能,研究了利用实数编码遗传算法的常模盲均衡,把均衡器系数向量作为遗传算法的决策变量,采用轮盘赌选择和精英保留策略相结合的混合选择算子、算术交叉算子和非均匀变异方式,经过一系列的遗传操作,搜索到适应度值最高的个体,即均衡器的最优系数。
5) DFE modified constant mode algorithm
修正的常数模算法
6) constant modulus algorithm
常数模算法
1.
At present,constant modulus algorithm (CMA) is widely used,but it has disadvanta- ges that the convergence speed is slow and the residual error is large.
目前,常数模算法(constant modulus algorithm,CMA)应用非常广泛,但它存在收敛速度慢,剩余误差大的缺点。
2.
Constant modulus algorithm is a most popular algorithm and is widely used for blind equalization of non-constant envelope signals and constant envelope signals.
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。
3.
To overcome the disadvantages of slow convergent rate and large residual mean square error (MSE) of constant modulus algorithm (CMA) and least mean kurtosis CMA, a square kurtosis cost function is defined as a kurtosis factor of error signals and its performance is analyzed, a least square kurtosis CMA for updating weight vectors of blind equalizer is proposed.
结果表明 :该算法在收敛速度 ,收敛后的均方误差及码间干扰等方面的性能优于常数模算法与最小平均峭度恒模算法。
补充资料：常模团体
常模团体：指在参照常模解释分数的时候，被作为参照的群体，将应试者的分数和该参照团体的分数进行比较，并以该份数在这个团体中的相对位置高低或者等级来描述应试者的素质或者特点。
说明：补充资料仅用于学习参考，请勿用于其它任何用途。
参考词条