Partial Reconstruction Based Compressed Spectrum Sensing

摘要

The compression perception applied in spectrum detection technology can break through the traditional Nyquist sampling theorem, reduce sampling rate, so it can reduce the pressure of hardware processing. Therefore suitable for use in spectrum detection technology, especially the broadband signal spectrum detection. This paper based on the compression perception principle, the paper proposes a way of not to reconstruct the broadband spectrum itself, but through the part of the reconstruction of cognitive radio spectrum detection technology. The simulation results show that in the additive gaussian white noise environment, through the stagewise orthogonal matching pursuit reconstruction detection technology and the traditional signal energy detection technology comparison, learned that this technology can greatly decrease the system complexity and improve performance of perception.