Source number estimation algorithm based on wide-band compressed sensing

摘要

The signal acquisition systems based on Compressed Sensing is an important research direction of wideband signal processing. When it is used in communication re-connaissance or spectrum sensing, the received signal is a mixing of some narrow-band signals within wide range. Then the number of the mixed signals is the key to subsequent signal analysis. The paper proposed a source number estimation algorithm focus on the sparsity and distinctive features for modulated signal on the cyclic power level. The algorithm aimed at reconstructing the cyclic power spectrum by the Subspace Pursuit algorithm, and the source number could be estimated with symmetry. Simulation results show it has a good performance of resolution when the SNR is -13dB.