TIME-DOMAIN INVERSE SCATTERING OF A TWO-DIMENSIONAL METALLIC CYLINDER IN SLAB MEDIUM USING ASYNCHRONOUS PARTICLE SWARM OPTIMIZATION

2010 ◽  
Vol 14 ◽  
pp. 85-100 ◽  
Author(s):  
Chi-Hsien Sun ◽  
Chien-Ching Chiu ◽  
Ching-Lieh Li
Keyword(s):  
Particle Swarm Optimization ◽  
Inverse Scattering ◽  
Time Domain ◽  
Particle Swarm ◽  
Two Dimensional ◽  
Swarm Optimization ◽  
Metallic Cylinder

Time Domain Inverse Scattering for a Homogenous Dielectric Cylinder by Asynchronous Particle Swarm Optimization

2011 ◽  
Vol 39 (3) ◽  
pp. 102868 ◽  
Author(s):  
M. R. Mitchell ◽  
R. E. Link ◽  
Ching-Lieh Li ◽  
Chien-Ching Chiu ◽  
Chung-Hsin Huang
Keyword(s):  
Particle Swarm Optimization ◽  
Inverse Scattering ◽  
Time Domain ◽  
Particle Swarm ◽  
Dielectric Cylinder ◽  
Swarm Optimization

scholarly journals Multiple RFI Sources Location Method Combining Two-Dimensional ESPRIT DOA Estimation and Particle Swarm Optimization for Spaceborne SAR

2021 ◽  
Vol 13 (6) ◽  
pp. 1207
Author(s):  
Junfei Yu ◽  
Jingwen Li ◽  
Bing Sun ◽  
Yuming Jiang ◽  
Liying Xu
Keyword(s):  
Particle Swarm Optimization ◽  
Particle Swarm ◽  
Geographic Location ◽  
Doa Estimation ◽  
Pso Algorithm ◽  
Two Dimensional ◽  
Swarm Optimization ◽  
Location Method ◽  
Esprit Algorithm ◽  
To Receive

Synthetic aperture radar (SAR) systems are susceptible to radio frequency interference (RFI). The existence of RFI will cause serious degradation of SAR image quality and a huge risk of target misjudgment, which makes the research on RFI suppression methods receive widespread attention. Since the location of the RFI source is one of the most vital information for achieving RFI spatial filtering, this paper presents a novel location method of multiple independent RFI sources based on direction-of-arrival (DOA) estimation and the non-convex optimization algorithm. It deploys an L-shaped multi-channel array on the SAR system to receive echo signals, and utilizes the two-dimensional estimating signal parameter via rotational invariance techniques (2D-ESPRIT) algorithm to estimate the positional relationship between the RFI source and the SAR system, ultimately combines the DOA estimation results of multiple azimuth time to calculate the geographic location of RFI sources through the particle swarm optimization (PSO) algorithm. Results on simulation experiments prove the effectiveness of the proposed method.

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