一种基于子频带匹配选择的宽带压缩频谱感知方法

A wideband spectrum sensing approach based on sub-band matching selection

基于压缩感知的宽带频谱感知技术能有效降低过高的采样率和频谱感知复杂度。为了增强频谱感知中频谱信号的重构性能,根据宽带频谱信号具有的块稀疏特性,利用宽带频谱子频带划分的边界信息,提出一种改进OMP(MOMP)子频带匹配选择的宽带频谱重构算法,该算法旨在减少传统的OMP算法在频谱重构中的迭代次数,增强频谱重构的稳定性。仿真结果表明,基于该算法的宽带频谱感知方法不仅提高了频谱重构的准确性,而且有效缩短了频谱重构时间,具有很好的宽带频谱感知性能。

Wideband spectrum sensing technology based on compressed sensing can effectively reduce the high sampling rate and the complexity of spectrum sensing. During the sensing process, in order to enhance the reconstruction performance of the spectrum signal, a modified OMP sub-band matching selection algorithm for wideband spectrum reconstruction based on the prior knowledge of boundary information and the block sparse characteristics of wideband frequency signal was proposed. This method can reduce the number of iterations in spectrum reconstruction with OMP algorithm and enhance stability of spectrum reconstruction. Simulation results show that the proposed method can not only improve the accuracy of spectrum reconstruction, but also effectively shorten spectrum sensing timeand achieve better widehand soectrum sensing oerformance.