摘要
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。
We proposed a dual mode CMA algorithm MCADAMA (modified CMA-assisted decision adjusted modulus algorithm), which is suitable for QAM signal. Inspired by the MCMA, based on the study of dual-mode CMA algorithm CADAMA proposed by Axford, we proposed and studied the MCADAMA algorithm and compared MCADAMA with other three CMA algorithms based on a blind equalization system of QAM. The simulation results showed that the MCADAMA has faster convergence rate and lower bit error rate, and can improve system performance effectively.
出处
《南京邮电大学学报(自然科学版)》
2009年第3期73-77,共5页
Journal of Nanjing University of Posts and Telecommunications:Natural Science Edition
基金
国家自然科学基金(60472104)
南京邮电大学青蓝计划(NY207122)
江苏省高校研究生创新计划(CX07B_106z)资助项目