【摘要】 提出了基于K均值聚类(KMC)的盲多带频谱感知(BMSS)方法。该方法不需要知道噪声方差、主信号和无线信道的先验知识,利用KMC算法区分被占用子带集合(OSS)和空闲子带集合(ISS),然后再根据OSS中的元素获得被占用信道的数量和位置信息。与基于信息理论准则(ITC)的BMSS方法相比的结果为:在低信噪比和小样本场景中,新方法表现出更好的检测性能;在噪声方差不确定或不一致的应用中,其检测性能具有鲁棒性;当被占用的子带数增加或信号经过多径衰落时,其检测性能更优。仿真结果验证了所提方法的有效性和优越性。更多还原

【Abstract】 In this paper, a blind multiband spectrum sensing(BMSS) method requiring no knowledge of noise power, primary signal and wireless channel is proposed based on the K-means clustering(KMC). In this approach, the KMC algorithm is used to identify the occupied subband set(OSS) and the idle subband set(ISS), and then the location and number information of the occupied channels are obtained according to the elements in the OSS. Compared with the classical BMSS methods based on the information theoretic criteria(ITC), the new method shows more excellent performance especially in the low signal-to-noise ratio(SNR) and the small sampling number scenarios, and more robust detection performance in noise uncertainty or unequal noise variance applications. Meanwhile, the new method performs more stablely than the ITC-based methods when the occupied subband number increases or the primary signals suffer multi-path fading. Simulation result verifies the effectiveness of the proposed method.更多还原