Optimization design of MIMO radar sparse array

被引:1
作者
机构
[1] School of Electronic Engineering, University of Electronic Science and Technology
来源
Zhang, W. (5282411@qq.com) | 1600年 / Chinese Institute of Electronics卷 / 35期
关键词
Beam forming; Multiple input multiple output (MIMO) radar; Simulated annealing; Sparse array;
D O I
10.3969/j.issn.1001-506X.2013.02.11
中图分类号
学科分类号
摘要
The multiple input multiple output (MIMO) sparse array can get the largest continual virtual aperture, however, it is unable to be used in some applications such as the airborne radar due to the limitation of space. The simulated annealing is applied to the synthesis of virtual arrays in order to reduce the peaks of sidelobes and optimize the mainlobe by acting on the elements' positions of transmitting and receiving arrays. Simulation results verify the effectiveness of the proposed approach.
引用
收藏
页码:299 / 303
页数:4
相关论文
共 16 条
[1]  
Fishler E., Haimovich A., Blum R.S., Et al., Spatial diversity in radars-models and detection performance, IEEE Trans. on Signal Processing, 54, 3, pp. 823-838, (2006)
[2]  
Rabideau D.J., Parker P., Ubiquitous MIMO multifunction digital array radar, Proc. of the 37th IEEE Asilomar Conference on Signals, Systems, and Computers, pp. 1057-1064, (2003)
[3]  
Bliss D.W., Forsythe K.W., Davis S.K., Et al., GMTI MIMO radar, Proc. of the International Waveform Diversity and Design Conference, pp. 118-122, (2009)
[4]  
Li J., Petre S., MIMO Radar Signal Processing, (2009)
[5]  
Rabideau D.J., Multiple-input multiple-output radar aperture optimisation, Radar Sonar Navigation, 5, 2, pp. 155-162, (2011)
[6]  
Zhang X.C., Zhang Y.S., Xie W.C., Et al., Analysis of clutter model and DOFs for airborne MIMO radar under orthogonal degradation of waveform, Systems Engineering and Electronics, 34, 1, pp. 80-84, (2012)
[7]  
Chen A.L., Wang D.W., Ma X.Y., Et al., Array design and imaging method for wide-band MIMO radar, Systems Engineering and Electronics, 32, 12, pp. 2541-2546, (2010)
[8]  
Chen C.Y., Vaidyanathan P.P., MIMO radar space time adaptive processing using prolate spheroidal wavefunctions, IEEE Trans. on Signal Processing, 56, 2, pp. 623-635, (2007)
[9]  
Deng H., Braham H., A virtual antenna beamforming (VAB) approach for radar systems by using orthogonal coding waveforms, IEEE Trans. on Antennas and Propagation, 57, 2, pp. 425-435, (2009)
[10]  
Li H.B., Braham H., Transmit subaperturing for MIMO radars with co-located antennas, IEEE Journal of Selected Topics in Signal Processing, 4, 1, pp. 55-65, (2010)