PMID- 36215606
OWN - NLM
STAT- PubMed-not-MEDLINE
LR  - 20221010
IS  - 1520-8532 (Electronic)
IS  - 1084-7529 (Linking)
VI  - 39
IP  - 7
DP  - 2022 Jul 1
TI  - Strip SAR image simulation of a composite vehicle-ground model.
PG  - 1202-1209
LID - 10.1364/JOSAA.459445 [doi]
AB  - In this paper, the strip synthetic aperture radar (SAR) image of a composite 
      vehicle-ground model is simulated by combining the electromagnetic scattering 
      algorithm and radar imaging algorithm. A linear frequency modulated wave is 
      incident on the composite model, which is partitioned into a mass of triangular 
      patches. In the "stop-and-go" radar mode, for each patch, the amplitude of 
      scattered echo in the frequency domain is solved by a hybrid method of physical 
      optics (PO)-shooting and bouncing ray (SBR)-physical theory of diffraction (PTD). 
      For the composite model, the total scattered echo in terms of range frequency and 
      azimuth time is obtained by the vector superposition of echo on patches. Then the 
      SAR image of the composite model is generated by the range-Doppler algorithm. In 
      numerical simulations, both the electromagnetic scattering of a target by the 
      SBR-PTD method and composite scattering by the PO-SBR-PTD method are validated 
      and evaluated by comparing with the multilevel fast multipole method (MLFMM) in 
      FEKO software. Moreover, the SAR image of the composite vehicle-ground model is 
      also compared with the real image in Moving and Stationary Target Acquisition and 
      Recognition database, which verifies the feasibility of the proposed method. SAR 
      images of the composite model for different incident angles are also presented 
      and analyzed.
FAU - Li, Juan
AU  - Li J
FAU - Li, Chong
AU  - Li C
FAU - Guo, Li-Xin
AU  - Guo LX
FAU - Wei, Yi-Wen
AU  - Wei YW
FAU - Li, Ke
AU  - Li K
FAU - Chai, Shui-Rong
AU  - Chai SR
LA  - eng
PT  - Journal Article
PL  - United States
TA  - J Opt Soc Am A Opt Image Sci Vis
JT  - Journal of the Optical Society of America. A, Optics, image science, and vision
JID - 9800943
SB  - IM
EDAT- 2022/10/11 06:00
MHDA- 2022/10/11 06:01
CRDT- 2022/10/10 15:24
PHST- 2022/10/10 15:24 [entrez]
PHST- 2022/10/11 06:00 [pubmed]
PHST- 2022/10/11 06:01 [medline]
AID - 476941 [pii]
AID - 10.1364/JOSAA.459445 [doi]
PST - ppublish
SO  - J Opt Soc Am A Opt Image Sci Vis. 2022 Jul 1;39(7):1202-1209. doi: 
      10.1364/JOSAA.459445.