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Robust blind adaptive beamforming for cyclostationary signals

机译:循环平稳信号的鲁棒盲自适应波束成形

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This paper deals with the problem of robust adaptive array beamforming for cyclostationary signals. By exploiting the signal cyclostationarity, blind adaptive beamforming algorithms have found numerous important applications in signal processing. However, these methods suffer from severe performance degradation even if there is a small mismatch in the cycle frequency of the desired signal. In this paper, we propose the efficient robust scheme based on the conventional cyclic adaptive beamforming (CAB) algorithm against the mismatch in the cycle frequency. The performance of the proposed techniques is compared with that of existing blind cyclic beamforming approaches by simulation examples, the results of which demonstrate a marked improvement in the robustness against imprecisely knowledge of the cycle frequency.
机译:本文研究了用于循环平稳信号的鲁棒自适应阵列波束形成问题。通过利用信号的循环平稳性,盲自适应波束成形算法已经在信号处理中发现了许多重要的应用。但是,这些方法即使在所需信号的周期频率中存在很小的失配,也会遭受严重的性能下降。在本文中,我们提出了一种基于常规循环自适应波束形成(CAB)算法的有效鲁棒方案,以应对周期频率不匹配的问题。通过仿真示例,将所提出的技术的性能与现有的盲循环波束形成方法的性能进行了比较,仿真结果表明,在不精确了解循环频率的情况下,鲁棒性得到了显着提高。

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