On full diversity linear dispersion codes with partial interference cancellation group decoding

Xiaoyong Guo, X. Xia
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Abstract

In this paper, we propose a partial interference cancellation (PIC) group decoding for linear dispersive space-time block codes (STBC) and a design criterion for the codes to achieve full diversity when the PIC group decoding is used at the receiver. A PIC group decoding decodes the symbols embedded in an STBC by dividing them into several groups and decoding each group separately after a linear PIC operation is implemented. It can be viewed as an intermediate decoding between the maximum likelihood (ML) receiver that decodes all the embedded symbols together, i.e., all embedded symbols are in a single group, and a zero-forcing (ZF) receiver that decodes all the embedded symbols separately and independently, i.e., each group has and only has one embedded symbol, after the ZF operation is implemented. The PIC group decoding provides a framework to adjust the complexity-performance tradeoff by choosing the sizes of the symbol groups. Our proposed design criterion (group independence) for the PIC group decoding to achieve full diversity is an intermediate condition between the loosest ML full rank criterion of codewords and the strongest ZF linear independence condition of the column vectors in the equivalent channel matrix. A design example is also given.
全分集线性色散码的部分干扰消除群译码
本文提出了线性色散空时分组码(STBC)的部分干扰抵消(PIC)组译码方法,并给出了在接收端使用PIC组译码实现完全分集的设计准则。PIC组解码解码嵌入在STBC中的符号,将它们分成几组,并在实现线性PIC操作后分别解码每组。它可以看作是在最大似然(ML)接收机和强制零(ZF)接收机之间的中间解码,前者将所有嵌入符号一起解码,即所有嵌入符号都在一个组中,而后者在执行ZF操作后分别独立解码所有嵌入符号,即每组有且只有一个嵌入符号。PIC组解码提供了一个框架,通过选择符号组的大小来调整复杂性和性能之间的权衡。我们提出的PIC组解码实现完全分集的设计准则(组独立性)是码字最宽松的ML全秩准则和等效信道矩阵中列向量的最强ZF线性独立性条件之间的中间条件。并给出了设计实例。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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