On the Impulsiveness Correction Factor for estimation of performance degradation of wireless systems in Middletońs Class A interference

K. Fors, K. Wiklundh, P. Stenumgaard
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引用次数: 7

Abstract

To evaluate the performance degradation of a digital communication system, the Middleton's Class A noise model has shown to be a useful model for real interference sources. By varying the model parameter A and Γ, interference from pure Gaussian to a highly impulsive interference can be represented. The digital communication system performance is often determined by using the well-known Gaussian approximation (GA) to determine the bit error probability (BEP) of the system. The GA-approximation has been shown to severely underestimate the BEP for impulsive interference and therefore an earlier proposal, based on a so-called Impulsiveness Correction Factor (ICF) is used to correct the GA-approximation. In earlier work, the ICF has been extended to the case in which the interference signal consists of multiple interference signals. However, a limiting factor in that case is that one of the interference signals has to be dominant in power. In this paper, a simple but useful method is proposed to derive the ICF for a sum of equally distributed Class A-interference signals when none of the signals are dominant in power. This method is a complement to the earlier method and extends the usefulness of the ICF in interference analyses to a wider area of interference signals.
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在Middletońs A类干扰下估计无线系统性能退化的冲量校正因子
为了评估数字通信系统的性能退化,米德尔顿的a类噪声模型已被证明是实际干扰源的有用模型。通过改变模型参数A和Γ,可以表示从纯高斯到高脉冲的干涉。数字通信系统的性能通常采用众所周知的高斯近似(GA)来确定系统的误码概率(BEP)。ga -近似已经被证明严重低估了脉冲干扰的BEP,因此一个早期的建议,基于所谓的冲动性校正因子(ICF)被用来校正ga -近似。在早期的工作中,ICF已经扩展到干扰信号由多个干扰信号组成的情况。然而,这种情况下的一个限制因素是其中一个干扰信号必须在功率上占主导地位。本文提出了一种简单而实用的方法来推导等分布的a类干扰信号和在没有一个信号在功率上占主导地位的情况下的ICF。该方法是对先前方法的补充,并将ICF在干扰分析中的有用性扩展到更广泛的干扰信号区域。
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