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A novel blind equalization algorithm based on affine projection and quantization estimation errors

机译:一种基于仿射投影和量化估计误差的盲均衡算法

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摘要

A novel affine projection blind equalization CMA algorithm is presented in this paper. Based on quantization estimation errors and variable step-size, the algorithm can enhance convergence speed and decrease steady-state errors. Meanwhile, the algorithm has lower hardware implementation complexity because of the use of quantization estimation errors. Simulation results show that the performance of the novel algorithm has obvious advantages in convergence speed and steady-state errors.
机译:提出了一种新的仿射投影盲均衡CMA算法。该算法基于量化估计误差和可变步长,可以提高收敛速度并减少稳态误差。同时,由于使用量化估计误差,该算法具有较低的硬件实现复杂度。仿真结果表明,该算法在收敛速度和稳态误差方面具有明显的优势。

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