Abstract
Aiming at the classification and recognition of several common signals in underwater target detection, a signal classification and recognition method based on compressed sensing is proposed. The sparse representation of the signal is constructed, that is, the sparse basis of the signal is formed by constructing the over-complete dictionary of the signal. The process of signal classification and recognition based on compressed sensing is described in detail. The signal recognition performance of compressed sensing is simulated under different Signal noise ratio (SNR). The result shows that the signal recognition method based on compressed sensing has good performance.
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