Robust Adaptive Beamforming for Cyclostationary Signals in Spectrum Detection of Cognitive Radios

Xiaolong Ma, Guican Chen
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引用次数: 1

Abstract

This paper presents the robust Adaptive Digital Beamforming algorithm used in Cognitive Radios spectrum detection scheme, which is based on worst-case performance optimization criterion for processing the cyclostationary signals. The algorithm theory and its implementation steps are discussed. By simulated results show that this algorithm provides efficient solutions to the robustness problems including the array response mismatch and data nonstationarity problems.
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认知无线电频谱检测中周期平稳信号的鲁棒自适应波束形成
提出了一种基于最坏情况性能优化准则的鲁棒自适应数字波束形成算法,用于认知无线电频谱检测方案。讨论了算法原理和实现步骤。仿真结果表明,该算法有效地解决了阵列响应失配和数据非平稳等鲁棒性问题。
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