A novel Spectrum Estimation Algorithm Based on Compressed Sensing and Multi-taper Method

To estimate the wideband or multi-channel signals’ spectrum swiftly and exactly is a key technology to improve the performance of wideband spectrum sensing. The paper was proposed a novel spectrum estimation algorithm based on compressed sensing (CS) and multitaper method (MTM), which is called CS-MTM. The new algorithm was validated by single-tone, multi-tone and QPSK signals. Meanwhile, the paper has validated six common random meaurement matrixes which can be used in compressed spectrum estimation algorithm successfully. Simulation results show that the proposed approach can potentially achieve better performance than multi-taper method combined with singular-value decomposition based on compressed sensing(CS-MTM-SVD) in complexity, accuracy and real-time property.