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Energy normalized cross-correlation constant modulus algorithm in a MIMO convolutive system

机译:MIMO卷曲系统中的能量归一化互相关常数模量算法

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The joint goals of blind equalization and source separation in multipath MIMO systems in the presence of delay spread can be achieved by employing the combined cross-correlation (CC) and constant modulus algorithm (CMA), a.k.a. the CC-CMA. It is believed that the output energy will inevitably be scaled down due to the non-zero contribution of the CC term. No elegant remedy to the scaling problem presently exists. We mathematically derive this scaling factor and subsequently propose a simple method to restore the output energy back to unity by modifying the dispersion constant of the CC-CMA. We verified our analytical claims with supportive simulation results.
机译:通过采用组合的互相关(CC)和恒定模量算法(CMA),A.K.A. CC-CMA,可以通过采用组合的互相关(CC)和恒定模数算法(CMA)来实现在延迟扩展存在中的盲均衡和源分离中的联合目标。据信,由于CC项的非零贡献,输出能量将不可避免地缩小。目前,没有优雅的补救措施。我们在数学上得出这种缩放因子,随后提出了一种简单的方法来通过修改CC-CMA的色散常数来将输出能量恢复为单位。我们通过支持性模拟结果验证了我们的分析索赔。

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