Journal of Systems Engineering and Electronics ›› 2011, Vol. 33 ›› Issue (9): 1948-1953.doi: 10.3969/j.issn.1001-506X.2011.09.07

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Adaptive recovery algorithm for compressive sensing

GAN Wei, XU Lu-ping, LUO Nan, XIE Qiang   

  1. School of Electronic Engineering, Xidian University, Xi’an 710071, China
  • Online:2011-09-17 Published:2010-01-03

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Abstract:

In order to optimize the performance of sparsity adaptive matching pursuit (SAMP) algorithm, a modified adaptive matching pursuit (MAMP) algorithm is proposed. The proposed algorithm adoptes a fuzzy threshold preliminary rule, improves the method of choosing step size and sets the initial threshold to cut out the candidate set. Simulation results show that, compared with SAMP, the operation speed of MAMP is increased by a factor of 2 for the same sparsity level, and the required measurement number decreases about 1%. In addition, the recovery accuracy is also improved.

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