Blind Signal Processing for Impulsive Noise Channels
In this paper, a new blind signal processing scheme for equalization in fading and impulsive-noise channel environments is introduced based on probability density functionmatching method and a set of Dirac-delta functions. Gaussian kernel of the proposed blind algorithm has the effect of cutting out the outliers on the difference between the desired level values and impulse-infected outputs. And also the proposed algorithm has relatively less sensitivity to channel eigenvalue ratio and has reduced computational complexity compared to the recently introduced correntropy algorithm. According to these characteristics, simulation results show that the proposed blind algorithm produces superior performance in multi-path communication channels corrupted with impulsive noise.
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이 논문을 인용한 문헌 (4)
- Kim, Namyong 2014. "Complexity Reduction of Blind Algorithms based on Cross-Information Potential and Delta Functions" Journal of Internet Computing and Services = 인터넷정보학회논문지, 15(3): 71~77
- Kim, Namyong 2016. "Robustness to Impulsive Noise of Algorithms based on Cross-Information Potential and Delta Functions" Journal of Internet Computing and Services = 인터넷정보학회논문지, 17(2): 11~17
- 2016. "" Journal of communications and networks, 18(1): 8~18
- Kim, Namyong ; Lee, Gyoo-yeong 2016. "Optimum Solutions of Minimum Error Entropy Algorithm" Journal of Internet Computing and Services = 인터넷정보학회논문지, 17(3): 19~24
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