A time reversal imaging algorithm, based on the space-frequency decomposition, namely space-frequency TR-MUSIC, is proposed in an attempt to improve the focusing of the target obscured by complex random media, where TR-MUSIC algorithm may perform poorly when the signal to noise ratio (SNR) is low and the acquisition of the space-space multistatic data matrix (SS-MDM) is difficult. Using the backscattered data collected by an antenna array, a space-frequency multistatic data matrix (SF-MDM) is configured. Then the singular value decomposition is applied to the matrix to obtain the noisy subspace vector, which is then employed to image the target. The imaging function based on the full backscattered data includes the contributions of multiple sub-matrix and is found to be statistically stable. Numerical simulations show that the imaging performance of the space-frequency TR-MUSIC is better than that of the traditional space-space TR-MUSIC in both free space and random media, with fine resolution and good geometric accuracy under SNR as low as 10 dB.
MA Tian
,
CHEN Kunshan
,
LIU Yu
,
LI Tingting
,
XU Zhen
. Imaging method of space-frequency TR-MUSIC in random medium[J]. Journal of University of Chinese Academy of Sciences, 2021
, 38(2)
: 260
-269
.
DOI: 10.7523/j.issn.2095-6134.2021.02.012
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