Lao Guochao

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Because of the samples which gained through compressive measurement effectively preserve the features information of the original signal, Compressed Sensing (CS) has been successfully applied to the detection and parameter estimation of Linear Frequency Modulation (LFM) signal. However, the source number of multi-component signal often be used as a prior(More)
Compressed Sensing (CS) has been successfully applied to the parameter estimation of Linear Frequency Modulation (LFM) signal. Compared to the Nyquist sampling method, far less samples are needed to estimate the frequency parameter. However, the super-resolution estimation of frequency parameter can greatly increase the number of atoms in the over-complete(More)
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