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Blind multiband spectrum sensing scheme by combining model order selection with clustering analysis

机译:模型阶次选择与聚类分析相结合的盲多频带频谱感知方案

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This letter presents a robust blind multiband detection (BMD) scheme for cognitive radio (CR). In the proposed scheme, the BMD problem is firstly transformed into a model order selection (MOS) problem, and then an effective clustering method is proposed to determine the subband state. Our scheme is easy to implement and has high computational efficiency. Most importantly, unlike the classical BMD schemes based on the information theoretic criteria, our scheme can be used in both the nonuniform and the uniform noise powers scenarios. Simulation results verify its effectiveness.
机译:这封信提出了一种用于认知无线电(CR)的健壮的盲多频带检测(BMD)方案。在该方案中,首先将BMD问题转化为模型阶数选择(MOS)问题,然后提出一种有效的聚类方法来确定子带状态。我们的方案易于实现并且具有很高的计算效率。最重要的是,与基于信息理论标准的经典BMD方案不同,我们的方案可用于非均匀和均匀噪声功率场景。仿真结果验证了其有效性。

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