1995
DOI: 10.1002/mop.4650080506
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Fast far‐field approximation for calculating the RCS of large objects

Abstract: A fast far‐field approximation (FAFFA) is developed to estimate the RCS of conducting scatterers. This method accounts for the interaction between subscatterers in two ways, depending on the electrical distance between the subscatterers. The interactions of subscatterers separated by a large electrical distance are computed in three stages: (1) aggregation, which computes the total field at a group center due to the subscatterers of the group; (2) translation, which translates the field from one group center t… Show more

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Cited by 109 publications
(60 citation statements)
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“…With the Tabulated Interaction Method [8] the integration intervals in a group are taken to be collinear and the aggregation and disaggregation stages referred to in Lu and Chew's paper [6] are performed for a range of angles of incidence and reflection, ll…”
Section: The Tabulated Interaction Methodsmentioning
confidence: 99%
“…With the Tabulated Interaction Method [8] the integration intervals in a group are taken to be collinear and the aggregation and disaggregation stages referred to in Lu and Chew's paper [6] are performed for a range of angles of incidence and reflection, ll…”
Section: The Tabulated Interaction Methodsmentioning
confidence: 99%
“…Number of facets increases with the frequency and the dimensions of the target. That is why several studies have been made to improve the efficiency of IPO method [15][16][17][18][19][20][21][22]. One of them is based on a segmentation principle, the S-IPO method [15].…”
Section: Description Of the Ipo Methodsmentioning
confidence: 99%
“…This step could be accelerated with a fast field calculation method. Indeed, this has been done using the fast far field approximation (FaFFA) [10,11], which reduces the cost to O(N 5/3 ). However, seeing that field calculation at a specified set of points can be viewed as a Method of Moments (MoM) type of matrix-vector product, the multilevel, fast multipole method (MLFMM) [12] could be used to reduce the cost of this step even further, to O(N log N ).…”
Section: Computational Challengesmentioning
confidence: 99%