Performance comparison of reconstruction algorithm based on non-uniform sampling system

For sparse ultra-wideband signals in frequency domain, the non-uniform adoption system is used to sample the signals at different rates. OMP algorithm, LASSO algorithm and BCS algorithm are used to recover the non-uniformly sampled signal. According to the analysis and comparison of the simulation r...

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Bibliographic Details
Published in2019 IEEE International Conference on Signal, Information and Data Processing (ICSIDP) pp. 1 - 5
Main Authors Zhao, Hanxi, Pan, Hebin, Shen, Jian, Zhang, Zhijun, Jiao, Meijing, Li, Fen
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.12.2019
Subjects
Compressed sensing
Non-uniform sampling
Signal reconstruction
Ultra-wideband signal
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Summary:For sparse ultra-wideband signals in frequency domain, the non-uniform adoption system is used to sample the signals at different rates. OMP algorithm, LASSO algorithm and BCS algorithm are used to recover the non-uniformly sampled signal. According to the analysis and comparison of the simulation results, the following conclusions are drawn: BSC algorithm has little change in time-consuming and robustness with the increase of the number of observations, and has better reconstruction performance when the number of observations is low and the noise is included.
DOI:10.1109/ICSIDP47821.2019.9173361