改进的常模算法:盲均衡和载波相位恢复算法

K. Oh, Yong-Ohk Chin
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引用次数: 234

摘要

提出了同时实现盲均衡和载波相位恢复的修正恒模算法(MCMA)。由于恒模算法(CMA)的收敛与载波恢复无关,因此在收敛时输出星座存在相位误差。通过对CMA的改进,该算法可以解决这一问题。此外,新算法在收敛速度和残差ISI方面都比CMA算法有较大的提高。此外,该算法在降低计算复杂度的同时,取得了与CMA和决策导向(DD)相位恢复方案相当的性能。仿真结果验证了该算法在去除码间干扰和校正载波相位误差方面的有效性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Modified constant modulus algorithm: blind equalization and carrier phase recovery algorithm
The modified constant modulus algorithm (MCMA) that accomplishes blind equalization and carrier phase recovery simultaneously is proposed. Since the constant modulus algorithm (CMA) converges independently of carrier recovery, at convergence an output constellation has a phase error. With modification of the CMA, the proposed algorithm can solve this problem. Furthermore, the new algorithm results in the performance enhancement of convergence speed and residual ISI compared to the CMA. In addition, the proposed algorithm achieves a performance as good as that of a joint CMA and decision-directed (DD) phase recovery scheme with reduction in computational complexity. Simulation results confirm the effectiveness of the proposed algorithm in removing ISI and correcting carrier phase error at the same time.
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