Optimizing planar array in MIMO-SAR radar using genetic algorithm

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.

[1]  He Zi-shu,et al.  Synthesis approach for sparse plane arrays , 2009 .

[2]  David W. Coit,et al.  Multi-objective optimization using genetic algorithms: A tutorial , 2006, Reliab. Eng. Syst. Saf..

[3]  Moeness G. Amin,et al.  Multi-input multi-output synthetic aperture radar technology for urban area surveillance , 2011, 2011 3rd International Asia-Pacific Conference on Synthetic Aperture Radar (APSAR).

[4]  LI Xiao-ming.  Optimizing Antenna Array Geometry in MIMO Radar Using Multiple Hybrid Genetic Algorithm , 2010 .

[5]  Wen-Qin Wang,et al.  Ground moving target indication by MIMO SAR with multi-antenna in azimuth , 2011, 2011 IEEE International Geoscience and Remote Sensing Symposium.

[6]  I. Hajnsek,et al.  A tutorial on synthetic aperture radar , 2013, IEEE Geoscience and Remote Sensing Magazine.