论l值的盒运算及其在软决策算法中的适用性

M. Adrat, M. Tschauner, N. Bebawi, M. Antweiler, B. Eschbach, P. Vary
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引用次数: 0

摘要

现代数字通信系统可以从接收机实现中的软决策算法中受益。这种算法需要每个数据位的可靠性信息,这些信息通常以对数似然比(llr)或短l值的形式给出。文献中已经提出了几种基于l值的高效接收器实现。他们中的许多人利用了著名的Box-Plus操作。它的逆函数也在Box-Minus运算中被引入。在这封信中,首先将简要回顾Box-Plus和Box-Minus这两种操作的具体特征。其次,作为一种新奇的东西,我们将定义另外两个操作符,Box-Multiply和Box-Divide操作。一个说明性的例子将说明这两个新操作符的必要性。最后,我们将提出一种实际的解决方案,以消除Box-Minus操作的关键侧约束,这是迄今为止已知的限制因素。
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On box-operations for L-Values and their applicability to soft-decision algorithms
Modern digital communication systems can benefit from soft-decision algorithms in receiver implementations. Such algorithms require reliability information about every data bit which is typically given in terms of Log-Likelihood Ratios (LLRs) or short L-Values. Several efficient receiver implementations based on L-Values have already been proposed in the literature. Many of them exploit the famous Box-Plus operation. Its inverse has also been introduced in terms of the Box-Minus operation. In this letter, at first the specific characteristics of both operations, the Box-Plus as well as the Box-Minus operation, will briefly be reviewed. Secondly, as a novelty we will define two more operators, the Box-Multiply and the Box-Divide operation. An illustrative example will demonstrate the necessity for these two new operators. Finally, we will propose a practical solution for eliminating a critical side constraint of the Box-Minus operation which was known to be a limiting factor so far.
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