Title
Optimizing Planar Array In Mimo-Sar Radar Using Genetic Algorithm
Abstract
In this paper, the optimization of planar array antenna of MIMO-SAR radar is discussed in the conditions of the array range fixed length with the minimum array spacing and the constant array elements number. As MIMO-SAR adopts sparse planar antenna, based on the principle of antenna phase center approximation, an optimization model of array considering sidelobe level and mainlobe width is set up. In addition, an improved genetic algorithm based on adjustable crossover rate and mutation rate is proposed in order to get array element position optimization model. The optimization method can suppress the precocity for Simple Genetic Algorithm (SGA) effectively and solve MIMO-SAR array antenna two design problems of low sidelobe level and narrow main lobe width. The simulation results show the effectiveness of the optimization method.
Year
DOI
Venue
2016
10.1109/IGARSS.2016.7729305
2016 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM (IGARSS)
Keywords
Field
DocType
MIMO-SAR planar array, Genetic Algorithm, optimization of array antenna, antenna pattern
Phase center,Planar array,Computer science,Sensor array,Collinear antenna array,Main lobe,Artificial intelligence,Array gain,Genetic algorithm,Radar,Computer vision,Mathematical optimization,Algorithm
Conference
ISSN
Citations 
PageRank 
2153-6996
0
0.34
References 
Authors
2
4
Name
Order
Citations
PageRank
Ya-Nan Duan100.34
Xiaoling Zhang2124.53
Shunjun Wei3148.82
Xiao-Tian Fan400.34