CAJ | 학술논문

在研究了多种广泛使用的盲均衡算法的基础上,设计了一种对多种算法加权融合的新算法:当均衡器的输出信号可靠性足够高时,用可获得高收敛精度的多模辅助算法(MAMA)进行均衡;当均衡器的输出信号可靠性不够高时,用修正的常模算法(MCMA)、多模算法(MMA)和MAMA 三种算法的加权融合来均衡,且控制权重,使权重随迭代次数变化,提高了算法性能.仿真结果证明,新算法性能稳定,在恶劣的水声信道中,可以在大约2*!800次迭代后收敛,达到-35*!dB左右的码间干扰(ISI).
재연구료다충엄범사용적맹균형산법적기출상,설계료일충대다충산법가권융합적신산법:당균형기적수출신호가고성족구고시,용가획득고수렴정도적다모보조산법(MAMA)진행균형;당균형기적수출신호가고성불구고시,용수정적상모산법(MCMA)、다모산법(MMA)화MAMA 삼충산법적가권융합래균형,차공제권중,사권중수질대차수변화,제고료산법성능.방진결과증명,신산법성능은정,재악렬적수성신도중,가이재대약2*!800차질대후수렴,체도-35*!dB좌우적마간간우(ISI).
On the study of several commonly used algorithms, a new weighted fusion of multi-mode blind algorithm is proposed: when the output signal of the equalizer is reliable, MMA-assisted modulus algorithm (MAMA) is used, otherwise modified constant modulus algorithm (MCMA), multi-modulus algorithm (MMA) and MAMA are weighted and merged together. On the other hand, by controlling the weight of each algorithm and making it in direct proportion to the iteration number, the performance is evidently improves. Simulation proves that the new algorithm is stable, and could reach inter symbol interference (ISI) of - 35 dB after about 2 800 iterations in the underwater environment.