Multiantenna-Assisted Wideband Spectrum Sensing Based on Sub-Nyquist Sampling

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.

Automated summary

The problem of wideband spectrum sensing was addressed, proposing a new sub-Nyquist sampling architecture and compressed power spectrum estimation method. Analysis showed a significant sampling rate reduction without sparse constraint on the monitored frequency band, with simulation results demonstrating the effectiveness of the proposed method.