基于滑动窗口MUSIC算法的时角频谱感知

2012 Fourth International Conference on Multimedia Information Networking and Security Pub Date : 2012-11-02 DOI:10.1109/MINES.2012.238

Du Liping, Liu Feifei, Chen Yueyun

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引用次数: 2

摘要

频谱感知是认知无线电的关键问题之一。为了探索频谱空间的所有维度，提出了一种基于滑动窗口MUSIC的频谱感知方法，在时间角维度上提供频谱孔。仿真结果表明，该方法具有比传统能量检测更好的检测性能和较高的估计精度。

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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Time-Angle Spectrum Sensing Based on Sliding Window MUSIC Algorithm

Spectrum sensing is one of the key issues in cognitive radio. To explore all dimensions of the spectrum space, a sliding window MUSIC based spectrum sensing method is proposed to offer the spectrum holes in time-angle dimension. Simulation results show that the proposed method has better detection performance than conventional energy detection as well as high estimation accuracy.

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来源期刊

2012 Fourth International Conference on Multimedia Information Networking and Security

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