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Variable leaky steepest descent algorithm for autoregressive fading estimation in OFDM systems
Digital Signal Processing ( IF 2.9 ) Pub Date : 2021-07-19 , DOI: 10.1016/j.dsp.2021.103169
Mohammad Ghanavati Mohammadi 1 , Alimorad Mahmoudi 1 , Abdolnabi Kosarian 1
Affiliation  

This paper presents an adaptive algorithm for unbiased estimation of autoregressive Rayleigh flat fading parameters in OFDM systems. To this end, a variable leaky steepest descent algorithm is proposed. The authors use a variable leak parameter in the algorithm to remove the noise induced bias from the autoregressive estimates. Theoretical performance analyses of the proposed method are conducted. Moreover, computer simulations are presented to evaluate the performance of the proposed algorithm and to compare it with other existing methods.



中文翻译:

OFDM系统中用于自回归衰落估计的可变泄漏最速下降算法

本文提出了一种自适应算法,用于在 OFDM 系统中对自回归瑞利平坦衰落参数进行无偏估计。为此,提出了一种可变泄漏最速下降算法。作者在算​​法中使用可变泄漏参数从自回归估计中去除噪声引起的偏差。对所提出的方法进行了理论性能分析。此外,还提出了计算机模拟来评估所提出算法的性能并将其与其他现有方法进行比较。

更新日期:2021-07-28
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