基于决策反馈的最大比值组合子带自适应阵列

T. Taniguchi, N. Bin Ramli, Y. Karasawa
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引用次数: 0

摘要

提出了一种基于决策反馈的最大比值组合子带自适应阵列。子带自适应阵列可以将频率平坦环境下的MRC方案扩展到频率选择信道,但子带权重相对于其相位旋转的非唯一性影响了通过反离散傅里叶变换对输出信号的有效合成。我们的方法采用两步的方法来解决这个问题:第一步,我们使用简单的相位调整,得到硬决策临时输出。然后在第二步,将其作为训练序列来确定最佳相位补偿。虽然这个想法看起来很简单,但所提出的方案显著提高了基于MRC的自适应阵列的性能,并通过计算机仿真和一些特征进行了验证。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Maximal Ratio Combining Subband Adaptive Array Using Decision Feedback Approach
This paper presents a maximal ratio combining (MRC) subband adaptive array using decision feedback approach. The subband adaptive array could extend the MRC scheme for frequency flat environments to be used in frequency selective channels, but the nonuniqueness of subband weights with respect to their phase rotation disturbs the efficient synthesis of output signal through the inverse DFT (discrete Fourier transform). Our method adopts two-step approach to solve this problem: In the first step, we use simple phase adjustment and derive hard-decision temporary output. Then in the second step, it is used as a training sequence to determine optimum phase compensation. Though this idea seems very simple, the proposed scheme significantly improves the performance of MRC based adaptive array and it is verified through computer simulations together with some features.
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