The frequency-domain RLS algorithm with incremental hopping-index

P. Park, Dong Kyoo Kim, S. C. Jung, Won Seok Park
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Abstract

Introduces a frequency-domain adaptive algorithm based on the recursive least squares (RLS) concept and a sliding FFT and suggests a method of efficiently incrementing the hopping-index of a sliding FFT. The proposed algorithm increases the convergence speed and substantially reduces computational complexity, compared with existing frequency-domain adaptive algorithms, and performs excellently in ill-conditioned channel equalization.
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基于增量跳指数的频域RLS算法
介绍了一种基于递推最小二乘(RLS)概念和滑动FFT的频域自适应算法,并提出了一种有效地增加滑动FFT跳指数的方法。与现有的频域自适应算法相比,该算法提高了收敛速度,大大降低了计算复杂度,并在病态信道均衡方面表现优异。
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