Joint Real-valued Beamspace-based Method for Angle Estimation in Bistatic MIMO Radar

被引：0
作者：
Xu B. [1 ]
Zhao Y. [1 ,2 ]
Pang X. [1 ]
机构：
[1] National Laboratory of Radar Signal Processing, Xidian University, Xi'an
[2] Collaborative Innovation Center of Information Sensing and Understanding, Xidian University, Xi'an
来源：
Dianzi Yu Xinxi Xuebao/Journal of Electronics and Information Technology | 2019年 / 41卷 / 07期
关键词：
Angle estimation; Beamspace transformation; Convex optimization; MIMO radar;
D O I：
10.11999/JEITdzyxxxb-41-7-1721
中图分类号：
学科分类号：
摘要：
A joint real-valued beamspace-based method for angle estimation in bistatic Multiple-Input Multiple-Output (MIMO) radar is proposed. Instead of using the traditional Discrete Fourier Transform (DFT) beamspace filter, the proposed beamspace filter is designed through convex optimization, which can flexibly control the bandwidth and limit the sidelobe level. Based on this property, the mainlobe-to-sidelobe ratio of the proposed beamspace filter can be greatly improved, which results in the improved estimation performance. More importantly, the structure of the proposed beamspace matrix can be properly designed, which is indispensable in constructing the real-valued signal model. Finally, the mapping relationship to compensate the interpolation error is established. Simulation results verify the effectiveness of the proposed method. © 2019, Science Press. All right reserved.
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页码：1721 / 1727
页数：6
相关论文
共 21 条
  • [11] Cai C., Wen F., Huang D., New approach to angle estimation for bistatic MIMO radar with unknown spatially colored noise, IEEE Access, 6, pp. 24249-24255, (2018)
  • [12] Zhang Q., Zhang L., Zheng G., Et al., Joint DOD and DOA estimation for bistatic MIMO radar with arbitrary array using semi-real-valued MUSIC, Systems Engineering and Electronics, 38, 3, pp. 532-538, (2016)
  • [13] Zoltowski M.D., Haardt M., Mathews C.P., Closed-form 2-D angle estimation with rectangular arrays in element space or beamspace via unitary ESPRIT, IEEE Transactions on Signal Processing, 44, 2, pp. 316-328, (1996)
  • [14] Haardt M., Roemer F., Del Galdo G.D., Higher-order SVD-based subspace estimation to improve the parameter estimation accuracy in multidimensional harmonic retrieval problems, IEEE Transactions on Signal Processing, 56, 7, pp. 3198-3213, (2008)
  • [15] Nion D., Sidiropoulos N.D., A PARAFAC-based technique for detection and localization of multiple targets in a MIMO radar system, Proceedings of 2009 IEEE International Conference on Acoustics, Speech and Signal, pp. 2077-2080, (2009)
  • [16] Xu B., Zhao Y., Cheng Z., Et al., A novel unitary PARAFAC method for DOD and DOA estimation in bistatic MIMO radar, Signal Processing, 138, pp. 273-279, (2017)
  • [17] Yang K., Wen F., Huang D., Et al., Real-value-based trilinear decomposition-based direction estimation algorithm for bistatic MIMO radar in the presence of mutual coupling, Systems Engineering and Electronics, 40, 2, pp. 314-321, (2018)
  • [18] Grant M., Boyd S., CVX: Matlab software for disciplined convex programming, (2008)
  • [19] Forster P., Vezzosi G., Application of spheroidal sequences to array processing, Proceedings of IEEE International Conference on Acoustics, Speech, and Signal, pp. 2268-2271, (1987)
  • [20] Haardt M., Nossek J.A., Simultaneous Schur decomposition of several nonsymmetric matrices to achieve automatic pairing in multidimensional harmonic retrieval problems, IEEE Transactions on Signal Processing, 46, 1, pp. 161-169, (1998)
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