Rectangular Partially Adaptive Antenna Array in Real-Valued Arithmetic

V. Djigan
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Abstract

Arithmetic complexity of the Adaptive Antenna Array (AAA) consists of two parts: the complexity of the beamforming (the AAA input signal weighting and combination) and the AAA weights computation (the adaptive algorithm). The beamforming complexity cannot be reduced because it depends on the number of the antennas/channels which are selected to ensure the required properties of the array. At the same time, if the number of the adaptively controlled weights is less than the total number of the array weights, the arithmetic complexity of the adaptive algorithm can be reduced. Such an AAA is called a partially adaptive one. In the case of the rectangular AAA the partial adaptation can be achieved by the combination of the signals received by the antennas of the rows and the columns of the array prior to the adaptive weighting. This reduces the adaptive algorithm complexity because the reduced number of the adaptively computed/controlled weights is required in this case. However if the receiving signals number (the informational one and the interfering ones) is less than the array rows and columns number the partially adaptive array provides the steady-state performance which is almost the same as that of the array with all adaptively controlled weights. If the AAA is a symmetrical one (the pairs of its weights, which correspond the antennas placed in the locations symmetrical relatively the array phase center, are complex conjugated to each other) then a further reduction of the arithmetic complexity might be achieved by means of the usage of the real-valued computations. The main steps of the development of the real-valued partially adaptive antenna array with the combination of the row and column signals are considered in this paper. The AAA architecture, its computational procedure and the results of the AAA simulation are also considered. This simulation demonstrates about 3 dB better cancellation of the interferences and about two times shorter transient response of the proposed AAA compared to the same AAA in the complex-valued arithmetic.
矩形部分自适应天线阵列的实值算法
自适应天线阵列(AAA)的算法复杂度包括两部分:波束形成(AAA输入信号加权和组合)的复杂度和AAA权重计算(自适应算法)的复杂度。波束形成复杂性无法降低,因为它取决于所选择的天线/通道的数量,以确保阵列所需的属性。同时,如果自适应控制权值的个数小于数组权值的总数,则可以降低自适应算法的运算复杂度。这种AAA被称为部分自适应AAA。在矩形AAA的情况下,可以通过在自适应加权之前将阵列的行和列的天线接收的信号组合来实现部分自适应。这降低了自适应算法的复杂性,因为在这种情况下需要减少自适应计算/控制权重的数量。然而,当接收信号数(信息信号数和干扰信号数)小于阵列的行数和列数时,部分自适应阵列提供的稳态性能与全部自适应控制权重的阵列几乎相同。如果AAA是对称的(其权重对对应放置在相对于阵列相位中心对称位置的天线,彼此是复共轭的),则可以通过使用实值计算来进一步降低算法复杂度。本文研究了实值部分自适应行、列相结合天线阵列的主要研制步骤。文中还考虑了AAA的结构、计算过程和仿真结果。仿真结果表明,与复值算法相比,该算法的干扰消除能力提高了约3 dB,瞬态响应缩短了约2倍。
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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