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OFDM time-domain parameters estimation based on correntropy in impulsive noise

JIN Yan, REN Hang, JI Hong-bing   

  1. School of Electronic Engineering, Xidian University, Xi’an 710071, China
  • Online:2015-11-25 Published:2010-01-03

Abstract:

To address the problem that the conventional algorithms degrade severely in Alpha-stable noise environment, a new time-domain parameters estimation method based on correntropy is proposed for the orthogonal frequency division multiplexing (OFDM) system. As a generalized correlation function, correntropy is defined as a local similarity measure of a random variable. Taking advantage of the feature that the time domain structure of OFDM signals has local similarity, along with the fact that correntropy can effectively suppress the impulsive noise, the proposed method estimates the time-domain parameters of OFDM signals in Alpha-stable noise. To further improve the estimation performance in strong impulsive noise environment, a cumulative algorithm is used in this paper. Simulation results show that the proposed method can achieve good performance in Alpha-stable distribution noise and has higher parameter estimation accuracy than the fractional lower order based analysis method in strong impulsive noise environment.

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