Pattern synthesis for sparse MIMO radar arrays using multistage Genetic Algorithm

被引：0
|
作者：
He, Jie [1 ]
Feng, Dazheng [2 ]
Younan, N.H. [3 ]
Ma, Lun [1 ]
机构：
[1] School of Information Engineering, Chang'an University, Xi'an 710064, China
[2] National Lab. of Radar Signal Processing, Xidian University, Xi'an 710071, China
[3] Department of Electrical and Computer Engineering, Mississippi State University, MS 39762, United States
来源：
Journal of Information and Computational Science | 2013年 / 10卷 / 18期
关键词：
Degrees of freedom (mechanics) - Receiving antennas - Radar antennas - Numerical methods - MIMO radar - MIMO systems;
D O I：
10.12733/jics20103437
中图分类号：
学科分类号：
摘要：
Ambiguities, grating lobs, caused by high sparseness of array significantly degrade the performance of pattern synthesis for Multiple-input Multiple-output (MIMO) radar systems. In this paper, the optimization of sparse array pattern synthesis for orthogonal MIMO radar is presented based on multistage Genetic Algorithm (GA). Upon simultaneously optimizing the geometries of transmit and receive antennas, maximum Degrees of Freedom (DOF) and low grating lobs level can be obtained in our research. Numerical examples are provided to demonstrate the effectiveness of the proposed method. © 2013 Binary Information Press.
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页码：6139 / 6150
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