Image reconstruction using classic multiple signal classification (MUSIC) algorithms contains little target information. To solve this problem, time reversal matrix theory was adopted to obtain the image of scattering objects. The positioning accuracy of the modified MUSIC algorithm and its relationship with array element space, signal-to-noise ratio, and difference of signal incident angle were analyzed. Ipswich experimental datasets indicate that the improved image reconstruction algorithm realized better image reconstruction, providing evidence for advantages of the algorithm and other algorithms in determination of the morphology of obstacles. Comparative experiment on non-symmetric double-circle metal cylinder shows that the algorithm achieved better image reconstruction in high frequency conditions, and the higher the frequency, the smaller the eigenvalue of image reconstruction, and the higher the resolution.
LIU Yuying
. Determination of Morphological Data of Obstacles Based on Time Reversal Matrix Theory[J]. Science & Technology Review, 2014
, 32(23)
: 33
-38
.
DOI: 10.3981/j.issn.1000-7857.2014.23.004
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