Abstract
A time-reversal imaging method, based on frequency-domain data sampling and the estimation of signal parameters via rotational invariance techniques (ESPRIT), is proposed to obtain imaging with higher resolution in this paper. The proposed algorithm is obtained, which firstly applies the coarse and fine frequencies sampling to all received scatter signal, thus forming the plurality of frequency-frequency multistatic data matrices (FF-MDM); subsequently, the signal subspace is obtained through the application of singular value decomposition (SVD) to the FF-MDM; finally, the imaging pseudo-spectrum can be acquired by processing to the signal subspace with ESPRIT. The simulation results show that the proposed method has better resolution for imaging as compared with conventional imaging methods.
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