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Robust consideration of importance sampling in digital communication system

 

作者: Neng‐Hui Shih,   WheymingTina Song,  

 

期刊: Journal of the Chinese Institute of Engineers  （Taylor Available online 1995）
卷期: Volume 18, issue 5  

页码: 713-718

 

ISSN:0253-3839

 

年代: 1995

 

DOI:10.1080/02533839.1995.9677736

 

出版商: Taylor & Francis Group

 

关键词: bit error rate;importance sampling;Monte Carlo simulation;mean squared error

 

数据来源: Taylor

 

摘要:

This paper proposes using a mixed biasing distribution in Importance Sampling for estimating the bit error rate (BER) via Monte Carlo simulation. The proposed mixed biasing distribution is more robust than the commonly used Gaussian tail distribution when the signal or the threshold setting is disturbed by a uniformly distributed random noise. In this paper the robustness is quantified by the mean squared error.

 

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