经计算机仿真与理论分析表明，该算法与传统恒模算法相比，收敛速度加快，稳态剩余误差减小。

Computer simulations and theory analyses show that the proposed algorithm can speed up convergence rate and decrease state residual error compared with conventional CMA blind equalization algorithm.

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理论分析与仿真实验表明，该方法优于传统的“K秩”方法，ROC雷达工作曲线接近理论最优曲线。

The theoretical analysis and simulation results show that this method works better than traditional "k rank" fusion rule, and the ROC curve approaches the optimum.

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通过理论推导与仿真结果的对比可知，数据关联抖动估算方法对线性时不变的集总参数，分布参数系统均是可行的。

Through comparison between theory proof and simulation, we find the approximation method is feasible in linear time invariant (LTI) system of concentration and distribution parameter.

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