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提出了一种适用于QAM系统的改进的双模式算法MCADAMA(modified CMA-assisted decision adjusted modulus algorithm)。通过研究Axford提出的CADAMA双模式算法,受到MCMA算法的启发,结合恒模算法的特性,研究出了MCADAMA算法。通过搭建QAM盲均衡系统平台,把MCADAMA算法和其他3种恒模算法进行了比较,仿真结果表明,MCADAMA算法具有更快的收敛速度和更低的误码率,有效地提高了系统性能。
A modified dual-mode algorithm MCADAMA (modified CMA-assisted decision adjusted modulus algorithm) is proposed for QAM system. By studying the CADAMA dual-mode algorithm proposed by Axford and inspired by the MCMA algorithm, the MCADAMA algorithm is developed based on the characteristics of the constant-mode algorithm. By setting up a QAM blind equalization system platform, the MCADAMA algorithm is compared with the other three kinds of constant modulus algorithms. The simulation results show that the MCADAMA algorithm has faster convergence rate and lower bit error rate, which effectively improves the system performance.