A novel threshold optimization for distributed OS-CFAR of multistatic radar systems by using the genetic algorithm

Author(s):  
Weixian Liu ◽  
Yilong Lu ◽  
J.S. Fu
2014 ◽  
Vol 35 (4) ◽  
pp. 901-907
Author(s):  
Jun-kun Yan ◽  
Feng-zhou Dai ◽  
Tong Qin ◽  
Hong-wei Liu ◽  
Zheng Bao

2018 ◽  
Vol 11 (1) ◽  
pp. 15-21 ◽  
Author(s):  
Sandeep Kaushal ◽  
Bambam Kumar ◽  
Dharmendra Singh

AbstractIn through the wall imaging systems, wall parameters like its thickness and dielectric constant play an important role in the true and correct image formation of an object behind the wall made of various materials like brick cement, wood, plastic, etc. Incorrect estimation of these parameters leads to dislocation of the object and smearing or blurriness of the image too. A new autofocusing technique for a stepped frequency continuous wave -based radar at the frequency of 1–3 Ghz has been developed that corrects the wall's parameters like its thickness and dielectric constant and provides a better focused image of the target. For this purpose, a peak signal to noise ratio -based autofocusing technique has been developed by using curve fitting and the genetic algorithm. It is observed that the proposed technique has capability to focus the image up to good extent.


2014 ◽  
Vol 8 (4) ◽  
pp. 396-405 ◽  
Author(s):  
Pietro Stinco ◽  
Maria S. Greco ◽  
Fulvio Gini ◽  
Mario La Manna

Author(s):  
Daniel W. O’Hagan ◽  
Shaun R. Doughty ◽  
Michael R. Inggs

2011 ◽  
pp. 117-124 ◽  
Author(s):  
Egidio D'Addio ◽  
Alfonso Farina ◽  
Maurizio Longo ◽  
Ernesto Conte

2014 ◽  
Vol 62 (8) ◽  
pp. 1798-1810 ◽  
Author(s):  
Yuri Alvarez ◽  
Yolanda Rodriguez-Vaqueiro ◽  
Borja Gonzalez-Valdes ◽  
Spiros Mantzavinos ◽  
Carey M. Rappaport ◽  
...  

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