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A blind variable step-size method to enhance the blind multi-user detector performance for DS-CDMA systems

机译:一种盲变步长方法,用于增强DS-CDMA系统的盲多用户检测器性能

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In this paper we will propose a new blind variable step-size method which is mainly based upon the exponentially weighted step-size method to enhance the performance of the recursive versions of the CMA and the CC-CMA algorithms in multi-user applications. The proposed method presents a new method which detects blindly the channel impulse response variation according to the ever-changing environmental conditions, and then uses this variation to adjust the step-size parameter that attenuates this variation by the exponential ratio at each iteration of the adaptive blind equalization algorithm. As a result we will gain a step-size parameter sufficient for updating the tap weight coefficient vector of the blind equalizer iteratively, and that will speed up the convergence rate, minimize the mean square error (MSE) and enhance the performance of the blind detectors for DS-CDMA systems.
机译:在本文中,我们将提出一种新的盲可变步长方法,该方法主要基于指数加权步长方法,以增强多用户应用中CMA和CC-CMA算法的递归版本的性能。所提出的方法提出了一种新方法,该方法根据不断变化的环境条件盲目检测信道脉冲响应变化,然后使用该变化来调整步长参数,该步长参数在自适应的每次迭代中以指数比衰减该变化。盲均衡算法。结果,我们将获得一个步长参数,该参数足以迭代更新盲均衡器的抽头权重系数矢量,这将加快收敛速度​​,最小化均方误差(MSE)并增强盲检测器的性能用于DS-CDMA系统。

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