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Antenna Array and Feed-Backward Equalizer as Single Adaptive Device
Radioelectronics and Communications Systems Pub Date : 2021-12-14 , DOI: 10.3103/s073527272109003x
Victor I. Djigan 1
Affiliation  

Abstract

This paper considers an adaptive antenna array (AAA) with its weight factors combined with those of Feed-Forward (FF) part of a channel equalizer, while the array output signal is combined with that of Feed-Backward (FB) part of the equalizer. Such an array and distributed equalizer operate as a single multichannel adaptive filter providing the possibility of receiving a useful signal under conditions of its multipathing and in the presence of signals of external interference sources. The paper presents the architecture of antenna array/equalizer and the mathematical description of its multichannel adaptive algorithms, such as recursive least-squares (RLS) algorithm based on the Matrix Inversion Lemma (MIL), QR-decomposition and Householder’s transformation with quadratic computational complexity, and also simple algorithms based on the least squares (LS) criterion, normalized LS (NLS) and affine projection (AP) algorithms with linear computational complexity. The simulation results of the linear antenna array with eight antennas/channels, which receives a useful 16-PSK signal having passed through a two-ray communication channel in the presence of one to four interference sources with signal-to-interference ratio (SIR) of –30 dB for each interference and the signal-to-noise ratio (SNR) of 10–30 dB in the array channels, demonstrate the efficiency of the solution proposed.



中文翻译:

天线阵列和前馈均衡器作为单个自适应设备

摘要

本文考虑了一个自适应天线阵列 (AAA),其权重因子与信道均衡器的前馈 (FF) 部分的权重因子相结合,而阵列输出信号与均衡器的前馈 (FB) 部分的权重因子相结合。 . 这种阵列和分布式均衡器作为单个多通道自适应滤波器工作,提供在多径条件下和存在外部干扰源信号的情况下接收有用信号的可能性。本文介绍了天线阵列/均衡器的架构及其多信道自适应算法的数学描述,例如基于矩阵求逆引理 (MIL)、QR 分解和具有二次计算复杂度的 Householder 变换的递归最小二乘 (RLS) 算法, 以及基于最小二乘 (LS) 准则、归一化 LS (NLS) 和具有线性计算复杂度的仿射投影 (AP) 算法的简单算法。具有 8 个天线/通道的线性天线阵列的仿真结果,在存在具有信干比 (SIR) 的一到四个干扰源的情况下,该阵列接收已通过两射线通信通道的有用 16-PSK 信号每个干扰为 –30 dB,阵列信道中的信噪比 (SNR) 为 10–30 dB,证明了所提议解决方案的效率。

更新日期:2021-12-15
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