当前位置: X-MOL 学术Signal Process. › 论文详情
Our official English website, www.x-mol.net, welcomes your feedback! (Note: you will need to create a separate account there.)
A Unified Framework of adaptive sidelobe canceller design by antenna/subarray selection
Signal Processing ( IF 4.4 ) Pub Date : 2021-07-31 , DOI: 10.1016/j.sigpro.2021.108243
Xiangrong Wang 1 , Weitong Zhai 1 , Alfonso Farina 2
Affiliation  

This paper proposes a unified framework of adaptive sidelobe canceller (SLC) design, specifically the optimization of auxiliary array configuration in terms of two commonly-used metrics under both structures of antenna reuse and array splitting via antenna/subarray selection. Concerning the cancellation of desired signal caused by conventional SLCs, we first propose two new methods to design the beamforming weights for SLCs. For the first metric of minimum output power, a regularization penalty on signal cancellation is added. For the second metric of beampattern matching, additional zero-forcing constraint of auxiliary beampattern is imposed. Both modified methods aim to maximize the output signal to interference-plus-noise ratio (MaxSINR) under certain constraints. To further enhance the performance of these two methods, we optimize the auxiliary array configuration in terms of MaxSINR. We conduct the optimal SLC design under two structures of antenna reuse and array splitting, where both antenna and subarray selection are leveraged for auxiliary array construction. Furthermore, the optimum SLC design problem is formulated into convex optimization, which in turn can be readily solved using off-the-shelf commercial software or toolbox. Comparative simulation results demonstrate the optimality and superiority of the proposed adaptive SLC.



中文翻译:

通过天线/子阵列选择的自适应旁瓣消除器设计的统一框架

本文提出了自适应旁瓣消除器(SLC)设计的统一框架,特别是在天线复用和通过天线/子阵列选择进行阵列拆分的两种结构下,根据两个常用指标优化辅助阵列配置。关于传统 SLC 引起的有用信号的抵消,我们首先提出了两种新方法来设计 SLC 的波束赋形权重。对于最小输出功率的第一个度量,增加了对信号消除的正则化惩罚。对于波束模式匹配的第二个度量,附加了辅助波束模式的迫零约束。两种修改方法都旨在在某些约束下最大化输出信号与干扰加噪声比 (MaxSINR)。为了进一步提高这两种方法的性能,我们根据 MaxSINR 优化了辅助阵列配置。我们在天线复用和阵列分裂两种结构下进行最优 SLC 设计,其中天线和子阵列选择均用于辅助阵列构建。此外,最优 SLC 设计问题被公式化为凸优化,反过来可以使用现成的商业软件或工具箱轻松解决。比较仿真结果证明了所提出的自适应 SLC 的最优性和优越性。这反过来可以使用现成的商业软件或工具箱轻松解决。比较仿真结果证明了所提出的自适应 SLC 的最优性和优越性。这反过来可以使用现成的商业软件或工具箱轻松解决。比较仿真结果证明了所提出的自适应 SLC 的最优性和优越性。

更新日期:2021-08-15
down
wechat
bug