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Low-Complexity Variable Step Size Mechanism for Code-Constrained Constant Modulus Stochastic Gradient Algorithms applied to CDMA Interference Suppression

机译:用于CDMA干扰抑制的代码约束恒定模量随机梯度算法的低复杂性可变步长机制

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The code-constrained constant modulus algorithm (CCM) is a very effective blind approach for intersymbol interference (ISI) and multiaccess interference (MAI) suppression when a communication channel is frequency-selective. In non-stationary wireless environment, users frequently enter and exit the system, making it very difficult for the receiver to compute a pre-determined step size. This suggests the deployment of mechanisms to automatically adjust the step size in order to ensure good tracking of the interference and the channel. In this work, we propose a novel low-complexity variable step size mechanism for blind CCM CDMA receivers. The simulation results show that our proposed algorithm can work very well in the non-stationary environment. The convergence analysis of the proposed algorithm is carried out.
机译:当通信信道是频率选择性时,代码约束常量模数算法(CCM)是用于互互动干扰(ISI)和多Access干扰(MAI)抑制的非常有效的盲方法。在非静止无线环境中,用户经常进入并退出系统,使接收器非常困难计算预先确定的步长。这表明机制部署自动调整步骤尺寸,以确保干扰和通道的良好跟踪。在这项工作中,我们提出了一种用于盲CCM CDMA接收器的新型低复杂性可变步长机制。仿真结果表明,我们所提出的算法在非静止环境中可以很好地工作。进行了所提出的算法的收敛分析。

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