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Microwave imaging of moving objects
Author(s) -
Li HsuehJyh,
Yang ShengHui,
Liu TaYung,
Yen ShihLiang,
Shen Yuhsyen,
Farhat Nabil H.
Publication year - 1990
Publication title -
international journal of imaging systems and technology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.359
H-Index - 47
eISSN - 1098-1098
pISSN - 0899-9457
DOI - 10.1002/ima.1850020308
Subject(s) - waveform , computer science , computer vision , artificial intelligence , motion compensation , signal (programming language) , doppler effect , microwave imaging , motion (physics) , microwave , phase (matter) , compensation (psychology) , image quality , iterative reconstruction , image (mathematics) , range (aeronautics) , physics , telecommunications , radar , psychology , quantum mechanics , astronomy , psychoanalysis , programming language , materials science , composite material
Microwave images for objects in motion can be obtained with quality as good as those obtained in the stationary case if the signal waveforms, data acquisition systems, and image reconstruction algorithms are cleverly designed. The principle of imaging for objects in motion is to eliminate the gross Doppler effect of the echo signals and only reserve the differential Doppler information to reconstruct the image. Accordingly, requirements for parameters of the signal waveform are established. Two steps are involved in the image reconstruction algorithm: range alignment and phase compensation. Focused images of complex‐shaped targets with simulated motion have been obtained experimentally.