Performance of sinusoidally-distributed dithering for signed-error constant modulus algorithm

J. Jusak, Z. M. Hussain
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引用次数: 5

Abstract

The complexity of the ubiquitous constant modulus algorithm (CMA) can be reduced by applying a sign operation to the CMA error function, while a sign operator generally can be seen as a 1-bit (two-level) mid-riser quantization. However, in order to preserve the information lost as a result of quantization processes, dithering is commonly used. In this paper, we evaluate the performance of dithered signed-error CMA utilizing a dithering signal that has sinusoidal probability density function. The algorithm has also been applied for equalization in wireless communication channel, which is distorted by multi-path propagation. Simulation results show that dithering using sinusoidal distribution outperforms the dithering using uniform distribution in terms of convergence speed.
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带符号误差常模算法的正弦分布抖动性能
泛在常模算法(CMA)的复杂性可以通过对CMA误差函数应用符号运算来降低,而符号运算符通常可以被视为1位(两级)中间提升量化。然而,为了保留由于量化过程而丢失的信息,通常使用抖动。在本文中,我们利用具有正弦概率密度函数的抖动信号来评估抖动带符号误差CMA的性能。该算法还应用于无线通信信道的多径失真均衡。仿真结果表明,正弦分布抖动在收敛速度上优于均匀分布抖动。
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