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Low-Complexity Branch Metric Calculation for Decoding of Space-Time Trellis Codes

机译:用于对时空网格码解码的低复杂性分支度量计算

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Space-time trellis codes (STTC) have recently been proposed to use in the coded multiple-input multiple-output (Coded MIMO) communications. Viterbi algorithm is the basic decoder used to retrieve the transmitted information, by which the impaired information can be corrected by the path record determined by accumulating the branch metrics. However, the computational complexity of the branch metric in Viterbi decoding for STTC is extremely high in spite of its high reliability. Moreover, the computational complexity also increases significantly along with the number of antennas and the order of modulation. To reduce the computational burden, we propose a new method to compute the branch metrics in the geometric view. The degree of complexity reduction is very impressive at sacrifice of a little degradation of coding gain. The simulation results show that more complexity reduction can be achieved when more antennas and higher order of modulation are applied.
机译:最近已经提出了在编码的多输入多输出(编码MIMO)通信中使用的时空网格代码(STTC)。 Viterbi算法是用于检索发送信息的基本解码器,通过累积分支度量来确定损害的信息可以纠正受损的信息。然而,尽管其可靠性高,STTC的维特比解码的分支度量的计算复杂度非常高。此外,计算复杂性也随着天线的数量和调制顺序而显着增加。为了减少计算负担,我们提出了一种在几何视图中计算分支度量的新方法。复杂性减少程度令人令人印象深刻,牺牲了对编码增益的一点劣化。仿真结果表明,当应用更多天线和更高阶的调制时,可以实现更复杂的降低。

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