Improved Primary Characteristic Basis Function Method for Monostatic Radar Cross Section Analysis of Specific Coordinate Plane

2016 ◽  
Vol E99.C (1) ◽  
pp. 28-35 ◽  
Author(s):  
Tai TANAKA ◽  
Yoshio INASAWA ◽  
Yasuhiro NISHIOKA ◽  
Hiroaki MIYASHITA
Keyword(s):  
Cross Section ◽  
Basis Function ◽  
Function Method ◽  
Radar Cross Section ◽  
Coordinate Plane ◽  
Section Analysis

Radar Cross-Section Analysis of Backscattering RFID Tags

2007 ◽  
Vol 6 ◽  
pp. 279-281 ◽  
Author(s):  
Chih-Chuan Yen ◽  
Alfonso E. Gutierrez ◽  
Dharmaraj Veeramani ◽  
Daniel van der Weide
Keyword(s):  
Cross Section ◽  
Radar Cross Section ◽  
Rfid Tags ◽  
Section Analysis

scholarly journals Broadband Adaptive RCS Computation through Characteristic Basis Function Method

2014 ◽  
Vol 2014 ◽  
pp. 1-5
Author(s):  
Guohua Wang ◽  
Yufa Sun
Keyword(s):  
Cross Section ◽  
Basis Function ◽  
Function Method ◽  
High Accuracy ◽  
Wide Frequency Range ◽  
Singular Value ◽  
Basis Functions ◽  
Frequency Range ◽  
Arbitrary Frequency ◽  
Value Decomposition

A broadband radar cross section (RCS) calculation approach is proposed based on the characteristic basis function method (CBFM). In the proposed approach, the desired arbitrary frequency band is adaptively divided into multiple subband in consideration of the characteristic basis functions (CBFs) number, which can reduce the universal characteristic basis functions (UCBFs) numbers after singular value decomposition (SVD) procedure at lower subfrequency band. Then, the desired RCS data can be obtained by splicing the RCS data in each subfrequency band. Numerical results demonstrate that the proposed method achieve a high accuracy and efficiency over a wide frequency range.

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