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Blind adaptive beamforming for cyclostationary signals

机译:循环平稳信号的盲自适应波束成形

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In order to increase the capacity and to suppress co-channel interference in digital communication systems such as mobile cellular and mobile satellite communication systems, the employment of array beamforming techniques has been proposed. However, conventional beamforming methods are not suitable for such cases since these methods were mainly developed for signal detection and direction-of-arrival (DOA) estimation in radar and sonar. In this paper, utilizing the cyclostationary properties of communication signals, we propose three blind cyclic adaptive beamforming (CAB) algorithms and their fast implementation schemes. Several numerical examples are included. These results demonstrate that the CAB algorithms are good candidates for spatial reuse of frequency spectrum in digital mobile communication systems of the next generation.
机译:为了增加容量并抑制诸如移动蜂窝和移动卫星通信系统之类的数字通信系统中的同信道干扰,已经提出了采用阵列波束成形技术的建议。但是,常规波束成形方法不适用于此类情况,因为这些方法主要是为雷达和声纳中的信号检测和到达方向(DOA)估计而开发的。本文利用通信信号的循环平稳特性,提出了三种盲循环自适应波束形成(CAB)算法及其快速实现方案。包括几个数值示例。这些结果表明,CAB算法是下一代数字移动通信系统中频谱空间复用的良好候选者。

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