多模盲均衡载波同步联合架构及分析

Joint Multi-modulus Blind Equalization and Carrier Recovery Algorithm and Its Theoretic Analysis

  • 摘要: 对于QAM体制信号,多模盲均衡算法(MMA)具有优于恒模算法 (CMA)的性能,同时具有矫正固定相位偏差及一定载波频率偏差(CFO)的能力。但在实际通信系统中,MMA对载波频偏的适应能力有限,当系统存在较大CFO时,MMA均衡算法稳态性能大幅下降。为保证MMA算法的稳态性能,同时适应较大载波频率偏差,文中提出了一种均衡载波同步联合结构。该结构将均衡器置于载波同步环路中,在消除载波频偏对均衡器性能影响的同时,提升了系统的载波频偏跟踪能力。文中对联合结构的载波环路跟踪性能进行了详细的理论分析,给出了环路性能指标的计算方法。数值仿真结果验证了理论分析的正确性,同时指出多模盲均衡载波同步联合算法能够在满足较大载波频偏跟踪性能的同时,实现接近无频偏时的均衡效果,很好的解决了大频偏下MMA算法性能损失严重的问题。

     

    Abstract: MMA (Multi-modulus Algorithm) which has better equalization performance than CMA (Constant Modulus Algorithm) for QAM signals can correct fixed phase bias and small carrier frequency offset besides equalization. But for practical communication systems, MMA’s tracking performance on the carrier frequency offset (CFO) is not enough, and its equalization performance is degraded a lot with a big CFO. For keeping the good steady state performance of MMA and enhancing the carrier frequency tracking performance, a joint blind equalization and carrier recovery structure is proposed in this paper, which puts the MMA equalizer into the carrier tracking loop for avoiding the CFO’s influence to the equalizer. Theoretic analysis is performed for the carrier frequency tracking loop of the proposed structure in detail, and the key performance elements of the loop are given. Numerical simulations verify the theoretical analysis, and show that the joint algorithm has a good equalization performance as with no CFO while achieving well tracking capability for a large CFO. The new algorithm shows to be a good solution for settling the problem of MMA’s performance degradation under large CFO conditions.

     

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