2016
DOI: 10.1109/lawp.2015.2456031
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An Improved Backward SBR-PO/PTD Hybrid Method for the Backward Scattering Prediction of an Electrically Large Target

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Cited by 69 publications
(16 citation statements)
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“…Its computation for a realistic object requires high computational resources. High-frequency asymptotic techniques like Geometrical Optics, Physical Optics [2], Geometrical Theory of Diffraction, Physical Theory of Diffraction, and Ray tracing methods [3][4][5][6][7] are the few examples for faster RCS computation. These methods are faster but problem dependent.…”
Section: Introductionmentioning
confidence: 99%
“…Its computation for a realistic object requires high computational resources. High-frequency asymptotic techniques like Geometrical Optics, Physical Optics [2], Geometrical Theory of Diffraction, Physical Theory of Diffraction, and Ray tracing methods [3][4][5][6][7] are the few examples for faster RCS computation. These methods are faster but problem dependent.…”
Section: Introductionmentioning
confidence: 99%
“…Tao proposed a GPU‐based SBR that can rapidly evaluate the exit position in a single pass on the graphics processing unit (GPU). Based on the forward‐ray‐tracing technique, Fan proposed an improved backward SBR‐PO/PTD hybrid method to accelerate the original backward‐ray‐tracing one. Zou introduced a ray‐density normalization theory to improve the SBR method.…”
Section: Introductionmentioning
confidence: 99%
“…In the simulator, a semideterministic facet model with two-scale formulas [13,14] is employed to describe the scattering from the electrically very large sea surface. A fast bidirectional ray tracing method [15] combined with the KD-tree [16] acceleration technique is employed to describe the interactions among the target and sea facets, which can keep both the accuracy and the efficiency in the ray tracing process. An equivalent edge current (EEC) method is used as a modification to consider the diffraction field contributions from the edged structures.…”
Section: Introductionmentioning
confidence: 99%