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Blind reconstruction of a helical scan interleaver

机译:螺旋扫描交织器的盲重构

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摘要

Interleaving is a technique that is commonly used in wireless digital communication systems to overcome burst errors occurred in wireless channels. The interleaver rearranges a consecutive data pattern into a certain pattern without repeating or omitting any information bit. At the receiver, the deinterleaver, which has information of the interleaver, rearranges the interleaved data back into the original data. For an unknown interleaved signal, however, a receiver has to estimate the parameters of the interleaver to recover the original data. In this paper, we focus on a helical scan interleaver and reconstruct the blind interleaved data. In order to recover the blind original data from the interleaved data, we first analyze the unknown data stream based on the linearity of the information and redundant bits of a channel code. And then, we develop an algorithm, based on the Gaussian elimination which is used to detect the linearity of the channel code, to estimate three parameters, such as the helical scan interleaver period, the size of rows and columns of the deinterleaver matrix and the codeword length.
机译:交织是无线数字通信系统中常用的一种技术,用于克服无线信道中发生的突发错误。交织器将连续的数据模式重新排列为特定的模式,而无需重复或省略任何信息位。在接收机处,具有交织器信息的解交织器将交织后的数据重新排列回原始数据。然而,对于未知的交织信号,接收机必须估计交织器的参数以恢复原始数据。在本文中,我们专注于螺旋扫描交织器并重建盲交织数据。为了从交织的数据中恢复盲目原始数据,我们首先根据信息的线性度和信道码的冗余位来分析未知数据流。然后,我们基于高斯消去方法开发了一种算法,该算法用于检测信道代码的线性度,以估计三个参数,例如螺旋扫描交织器周期,解交织器矩阵的行和列大小以及码字长度。

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