We consider the problem of wideband spectrum sensing, where a multi-antenna secondary user (SU) attempts to identify the frequency locations of a number of single-antenna primary users (PUs)’ transmissions that spread over a wide frequency band. To overcome the sampling rate bottleneck, we propose a new sub-Nyquist sampling architecture as well as a compressed power spectrum estimation method whose objective is to reconstruct the power spectrum of the transmitted signals from PUs. The proposed sub-Nyquist sampling scheme has a simple structure, and a power spectrum recovery analysis shows that the proposed method can achieve a significant sampling rate reduction, without imposing a sparse constraint on the frequency band under monitoring. Simulation results are presented to show the effectiveness of the proposed method.

中文翻译：

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基于亚奈奎斯特采样的多天线辅助宽带频谱感知

我们考虑了宽带频谱感测的问题，其中多天线辅助用户（SU）试图识别分布在宽频带上的多个单天线主要用户（PU）传输的频率位置。为了克服采样率瓶颈，我们提出了一种新的次奈奎斯特采样架构以及一种压缩功率谱估计方法，该方法的目的是重构从PU传输的信号的功率谱。所提出的亚奈奎斯特采样方案具有简单的结构，并且通过功率谱恢复分析表明，所提出的方法可以实现显着的采样率降低，而不会对所监视的频带施加稀疏约束。仿真结果表明了该方法的有效性。