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为降低基于Parzen窗随机盲均衡(SQD)算法在传输信号采用高频带利用率QAM信号时的计算复杂度,提出一种低复杂度SQD算法(LCSQD).将判决区域从整个星座修改为一个以均衡器输出为圆心,半径为可调的圆,计算量较少,并且不会随QAM阶数的增加而增加.采用16QAM和64QAM调制信号测试了不同判决半径时LCSQD算法的性能.结果表明,两种算法的稳态剩余ISI相接近时,LCSQD算法的收敛速度快于SQD算法.
In order to reduce the computational complexity of Parity window blind random equalization (SQD) algorithm when using high-band-rate QAM signals in transmitted signals, a low-complexity SQD algorithm (LCSQD) is proposed to change the decision region from the entire constellation to a The circle with the equalizer output as the center and the radius as an adjustable circle has less computation and does not increase with the increase of the order of QAM.The performance of LCSQD algorithm under different decision radii is tested by 16QAM and 64QAM modulation signals.The results show , The convergence rate of the LCSQD algorithm is faster than that of the SQD algorithm when the steady-state residual ISI of the two algorithms are close to each other.