Letter: New statistical model for burst error distribution
Letter: New statistical model for burst error distribution
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信件：突发错误分布的新统计模型
DOI：
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发表时间：
1996
影响因子：
3.6
通讯作者：
M. Spini
中科院分区：
文献类型：
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作者：
B. Cornaglia;M. Spini
由于在大容量数字无线电中继系统中采用了诸如低冗余纠错码、网格编码调制、维特比接收机等传输技术，错误倾向于聚集成突发。到目前为止，用于描述突发错误分布的模型是Neyman-A传染模型。这个模型被设想用于昆虫学和细菌学，但它也用于电信。因此，根据该模型，突发和突发中的错误数都假定为泊松分布。然而，该分布并不精确地表示真实的情况，因此，为了导出新的概率分布函数，其提高突发错误分布的描述的精确度，需要新的模型。本文用Neyman方法描述了一种新的基于Erlang分布的突发差错数模型。
Due to the adoption in high capacity Digital Radio Relay Systems of transmission techniques such as low redundancy error-correcting codes, trellis coded modulations, Viterbi receivers, etc., the errors tend to be clustered in bursts. Up to now, a model used to describe the burst error distribution was the Neyman-A contagious model. This model was conceived to be applied in entomology and bacteriology, but it is also used in telecommunications. So, according to this model, the bursts and the number of errors in bursts are both supposed to be Poisson distributed. However, this distribution does not represent accurately the real situation, so, in order to derive a new probability distribution function, that improves the accuracy of the description of a burst error distribution a new model is required. In this paper a new model based on Erlang distribution for the number of errors in bursts, is described by using the Neyman approach.