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Blind Estimation of Convolutional Interleaver Parameters

机译:卷积交织器参数的盲估计

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摘要

Interleaving, an important technique in digital wireless communications systems, is commonly used to improve robustness against burst errors because it provides a form of time diversity. The unitive mathematical model of the convolutional interleaver was presented for the first time and the blind estimation of convolutional interleaving parameters has been investigated using the linearity of the linear block code based on Gauss-Jordan elimination algorithm in this paper. It is easy to find out the parameters of convolutional interleaver when the proposed algorithm is extended to interleaved nonbinary codes sequence. The proposed algorithm uses only the intercepted interleaved stream to analyse a portion of the parity check linearity, and also requires less number of intercepted data bits and less calculated amount compared to previous approaches.
机译:交织是数字无线通信系统中的一项重要技术,通常用于提高针对突发错误的鲁棒性,因为它提供了一种时间分集形式。本文首次提出了卷积交织器的统一数学模型,并基于Gauss-Jordan消除算法,利用线性分组码的线性度,研究了卷积交织参数的盲估计。当将所提算法扩展到交织的非二进制码序列时,很容易找出卷积交织器的参数。所提出的算法仅使用截取的交错流来分析奇偶校验线性度的一部分,并且与以前的方法相比,还需要较少的截取数据位数和较少的计算量。

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