论文部分内容阅读
为了突破频谱稀疏性对压缩传感技术的限制,提出了一种基于压缩传感的频谱检测方法,在保证对主用户的干扰不超过指定门限的前提下,通过对目标频段的主用户信号和导频信号在频域进行线性运算,保留频谱空洞处的导频分量,把对非稀疏的主用户信号的恢复转化为对稀疏导频信号的恢复.该方法解决了认知无线电宽带频谱检测中,压缩传感技术在主用户信号非稀疏时的失效问题.仿真结果表明,导频检测方法可以对非稀疏频谱的频谱空洞位置进行准确检测.
In order to overcome the limitation of spectrum sparsity on compression sensing technology, a spectrum sensing method based on compressive sensing is proposed. Under the premise of ensuring that the interference to the primary user does not exceed the specified threshold, the primary user signal in the target frequency band and The pilot signal undergoes linear operation in the frequency domain, preserves the pilot component at the spectral hole, and transforms the recovery of the non-sparse primary user signal into the recovery of the sparse pilot signal. The method solves the problem that during the spectrum detection of the cognitive radio broadband , And the problem of the failure of compression sensing technology when the main user signal is not sparse.The simulation results show that the pilot detection method can accurately detect the location of spectral holes in non-sparse spectrum.