Adaptivity Improvement of CoSaMP Algorithm Based on Compressive Sensing

Compressive sensing reconstruction algorithm needs to predict sparse degree of the signal,however the sparse degree is always impossible to obtain in the practical application.In order to improve the sparsity adaptive problem of the CoSaMP algorithm,a new algorithm is proposed for the signal reconstruction.It initially estimates the sparse degree,combined with the idea of SAMP algorithm,the sparse degree gradually increases under the framework of CoSaMP algorithm.With the comparison of residual value for termination condition,it can exactly recover original signal after few recursive operations.Results show that the new algorithm can exactly recover original signal at the noisy condition and owns the characteristics of sparsity adaption.