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
[2] National Lab. of Radar Signal Processing, Xidian University
[3] Department of Electrical and Computer Engineering, Mississippi State University
来源：
Journal of Information and Computational Science | 2013年 / 10卷 / 18期
关键词：
Degrees of freedom; Genetic algorithm; MIMO radar; Pattern synthesis; Sparse array;
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.
引用
收藏
页码：6139 / 6150
页数：11
相关论文
共 10 条
  • [1] Bliss D.W., Forsythe K.W., Multiple-input multiple-output (MIMO) radar and imaging: Degrees of freedom and resolution, 37th Asilomar Conference on Signals, Systems and Computers, 1, pp. 54-59, (2003)
  • [2] Fishler E., Haimovich A., Blum R., Et al., Performance of MIMO radar systems: Advantages of angular diversity, Conference Record of the Thirty-Eighth Asilomar Conference on Signals, pp. 7-10, (2004)
  • [3] Li J., Stoica P., Xu L., Roberts W., On parameter identifiability of MIMO, IEEE Signal Processing Letters, 14, 12, pp. 968-971, (2007)
  • [4] Fishler E., Haimovich A., Blum R., Et al., MIMO radar: An idea whose time has come, Radar Conference 2004 Proceedings of the IEEE, pp. 71-78, (2004)
  • [5] Bekkerman I., Tabrikian J., Target detection and localization using MIMO radar and sonars, IEEE Trans. Signal Processing, 54, 10, pp. 3873-3883, (2006)
  • [6] Robey F.C., Courts S., Weikle D., Et al., MIMO radar theory and experimental results, Conference Record of the Thirty-Eighth Asilomar Conference on Signals, System and Computers, pp. 300-304, (2004)
  • [7] Hu X.-B., Paolo E.D., An efficient genetic algorithm with uniform crossover for air traffic control, Journal Computers and Operations Research, 36, 1, pp. 245-259, (2009)
  • [8] Baker B.M., Ayechew M.A., A genetic algorithm for the vehicle routing problem, Computers and Operations Research, 30, 5, pp. 787-800, (2003)
  • [9] Mognon V.R., Artuzi Jr. W.A., Descardeci J.R., Tilt angle and sidelobe level control of microwave array antennas, Microwave and Optical Technology Letters, 33, 1, pp. 12-14, (2002)
  • [10] Barott W.C., Steffes P.G., Optimizing radiation pattern and sidelobes in a genetic wire array, IEEE Antennas and Propagation Society International Symposium, pp. 2055-2058, (2006)
1