Two methods to increase the minimum distance for turbo codes with QPP interleavers

L. Trifina, V. Munteanu, D. Tarniceriu
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引用次数: 3

Abstract

Two search methods of quadratic permutation polynomials (QPP) for interleavers used in turbo codes are proposed. These methods lead to larger minimum distances and smaller multiplicities compared to interleavers proposed by Takeshita in [1]. The search is accomplished in a limited set of polynomials, that is, those for which the spreading factor and Ω′ metric are maximum. The minimum distance is computed by means of Garello algorithm in which the maximum weight of information sequence is 3 or 4, reducing the search time. The results obtained for various lengths show the efficiency of the proposed methods.
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利用QPP交织器增加turbo码最小距离的两种方法
提出了两种二次置换多项式(QPP)搜索turbo码交织器的方法。与Takeshita在[1]中提出的交织器相比,这些方法的最小距离更大,多重度更小。搜索是在一个有限的多项式集合中完成的,即那些扩展因子和Ω '度规是最大的。最小距离采用Garello算法计算,其中信息序列的最大权值为3或4,减少了搜索时间。在不同长度下得到的结果表明了所提方法的有效性。
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