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MMSE Adaptive Array Antenna with Sequential Processing

机译:具有顺序处理功能的MMSE自适应阵列天线

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An important problem of the adaptive array antenna proposed previously in regard to its installation is the increased equipment size. This is because the adaptive array antenna requires as many RF circuits as the number of antenna elements. In this paper, in the case where there is an input in one system, we study an adaptive array antenna with sequential processing (AAA-SP) in which the MMSE (minimum mean square error) criterion is used to control array weights by means of sequential processing of sampled signal data. Since there is only one input system in this case, it is found that the SINR is degraded due to reduction of correlation among elements if the conventional MMSE criterion is used as the adaptive control algorithm. Hence, in order to improve the deterioration of the SINR, a tapped-delay-line adaptive array antenna with sequential processing (TDL-AAA-SP) is proposed in which oversampling and a TDL-AAA are combined. It is theoretically proven that the TDL-AAA-SP improves the SINR by recovering from reduction of correlation by means of correlation on the time axis. A computer simulation demonstrates that the proposed scheme is effective.
机译:先前提出的关于其安装的自适应阵列天线的一个重要问题是设备尺寸的增加。这是因为自适应阵列天线需要与天线元件数量一样多的RF电路。在本文中,在一个系统中有输入的情况下,我们研究了一种具有顺序处理(AAA-SP)的自适应阵列天线,其中使用MMSE(最小均方误差)标准来控制阵列权重顺序处理采样信号数据。由于在这种情况下只有一个输入系统,因此发现,如果使用常规的MMSE标准作为自适应控制算法,则SINR会由于元素之间的相关性降低而降低。因此,为了改善SINR的劣化,提出了将过采样和TDL-AAA组合在一起的具有顺序处理的抽头延迟线自适应阵列天线(TDL-AAA-SP)。理论上证明,TDL-AAA-SP通过时间轴上的相关性从相关性的降低中恢复,从而提高了SINR。计算机仿真表明,该方案是有效的。

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