期刊文献+

基于高分辨距离像的MIMO雷达波形设计 被引量:4

MIMO radar waveform design based on high-resolution range profile
下载PDF
导出
摘要 波形设计关系到多输入多输出(multiple input multiple output,MIMO)雷达目标检测和参数估计的性能,设计与目标高分辨距离像相匹配的发射波形可以提高雷达目标探测效果。在建立单站MIMO雷达模型的基础上,以最大化系统输出信号与干扰噪声比为准则,研究了波形设计的目标函数和约束条件,并在推导目标函数相位梯度的基础上提出了一种相位域恒模共轭梯度算法来解决该波形设计问题。仿真实验表明,由该算法设计的MIMO雷达相位编码信号可以在多次迭代后逼近理论最优波形的性能,该算法具有收敛速度快、性能稳定、运算量低的特点。 Waveform design affects the performance of target detection and parameters estimation of the multiple input multiple output(MIMO) radar.The detection performances can be improved by matching waveform with the high-resolution range profile of the target.The objective function and constraints are studied to maximize system SINR on the basis of the model of a colocated MIMO radar.The phase gradient of the objective function is studied,and a phase-domain costant modul conjugate gradient method is introduced for designing the transmit waveform.The simulation result indicates that the performance of the designed waveform can approach that of the theoretical optimum waveform,and the new algorithm is preferable for its low complexity,better convergence and stability.
出处 《系统工程与电子技术》 EI CSCD 北大核心 2011年第4期755-758,共4页 Systems Engineering and Electronics
基金 国家部委基金(9140C0105010702)资助课题
关键词 多输入多输出雷达 波形设计 高分辨距离像 共轭梯度算法 multiple input multiple output(MIMO) radar waveform design high-resolution range profile conjugate gradient method
  • 相关文献

参考文献19

  • 1Fishier E, Haimovieh A, Blum R, et al. MIMO radar: an idea whose time has come[C]// Proc. of IEEE Radar Conference,2004:71 -78.
  • 2Bergin J, Techau P, Greenspan M, et al, MIMO phased-array for airborne radar[C]// Proc. of IEEE Antennas and Propaga- tion Society International Symposium ,2008 : 1 - 4.
  • 3Bliss D W, Forsythe K W. Multiple input multiple output (MIMO) radar and imaging: degrees of freedom and resolution[C]// Proc. of 37 th Asilomar Conference on Signals, Systems and Computers, 2003 : 54 - 59.
  • 4Haimovich A M, Blum R S, Cimini L J. MIMO radar with widely separated antennas[J]. IEEE Trans . on Signal Processing,2008,25 (1):116-129.
  • 5Abramovich Y I, Frazer G J. Bounds on the volume and height distributions for the MIMO radar ambiguity function[J]. IEEE Trans. on Signal Processing Letters, 2008,15(1) :505 - 508.
  • 6Jian Li, Luzhou Xu, Stoica P, et al. Range compression and waveform optimization for MIMO radar: a Cramfir-Rao bound based study[J]. IEEE Trans. on Signal Processing, 2008, 56 (1):218-232.
  • 7Fuhrmann D R, San A G. Transmit heamforming for MIMO radar systems using signal cross-correlation[J]. IEEE Trans. on Aero- space and Electronic Systems, 2008,44(1) :171 - 186.
  • 8Stoica P, Li Jian, Zhu Xumin. Waveform synthesis for diversity- based transmit beampattern design[J]. IEEE Trans. on Signal Processing ,2008,56(6) :2593 - 2598.
  • 9Balzan L A, White L B. Optimal waveform precoder design for narrowband MIMO radar systems[C]// Proc. of IEEE 15th Workshop on Statistical Signal Processing ,2009:517- 520.
  • 10Fuhrmann D, San A G. Transmit beamforming for MIMO radar systems using partial signal correlation[C]// Proc. of 38th Asilomar Conference on Signals, Systems and Comput- ers,2004:295 - 299.

同被引文献53

  • 1Lindenfeld M J.Sparse frequency transmit and receivewaveform design[J].IEEE Transactions on Aerospace andElectronic Systems,2004,40(3):851-860.
  • 2Liu W X,Lesturgie M,and Lu Y L.Real-time sparsefrequency design for HFSWR system[J].IET ElectronicLetters,2007,43(24):1387-1389.
  • 3Liu W X,Lu Y L,and Lesturgie M.Optimal sparse waveformdesign for HFSWR system[C].Proceedings 2007International Waveform Diversity and Design Conference,Pisa,Italy,2007:127-130.
  • 4Wang G H and Lu Y L.Sparse frequency transmit waveformdesign with soft power constraint by using PSO algorithm[C].Proceedings IEEE Radar Conference,Roma,Italy,2008:127-130.
  • 5Wang G H and Lu Y L.Designing single/multiple sparesfrequency waveforms with sidelobe constraint[J].IET Radar,Sonar&Navigation,2011,5(1):32-38.
  • 6Deng H.Polyphase code design for orthogonal netted radarsystems[J].IEEE Transactions on Signal Processing,2004,52(11):3126-3135.
  • 7Boyd S and Vandenberghe L.Convex Optimization[M].Cambridge:Cambridge University Press,2009:177-181.
  • 8Stocia P,He H,and Li J.New algorithm for designingunimodular sequences with good correlation properties[J].IEEE Transactions on Signal Processing,2009,57(4):1415-1425.
  • 9Haimovich A M,Blum R S,and Cimini L J Jr.MIMO radarwith widely separated antennas[J].IEEE Signal ProcessingMagazine,2008,25(1):116-129.
  • 10Li J and Stocia P.MIMO radar with colocated antennas[J].IEEE Signal Processing Magazine,2007,24(5):106-114.

引证文献4

二级引证文献27

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部