Target Angle Tracking Algorithm ofBistatic MIMO Radar with Low Signal-to-Noise Ratio

被引：0
|
作者：
Zhang Z.-Y. [1 ]
Zhang J.-Y. [2 ]
Zheng Z.-D. [3 ]
Li X.-B. [3 ]
机构：
[1] Troop 75775, Guangzhou
[2] National University of Defense Technology, Hefei, 230037, Anhui
[3] Troop 32802, Beijing
来源：
Tien Tzu Hsueh Pao/Acta Electronica Sinica | 2019年 / 47卷 / 12期
关键词：
Angle pairing and association; Angle tracking; Bistatic MIMO radar; Eigenvalue variable; Extended signal subspace;
D O I：
10.3969/j.issn.0372-2112.2019.12.005
中图分类号：
学科分类号：
摘要：
The target tracking problem of bistatic MIMO radar under low SNR is studied, and a target tracking algorithm based on improved AAJD(Adaptive Asymmetric Joint Diagonalization)is proposed.Firstly, the AAJD algorithm is improved to obtain the variable as the eigenvalue and the criterion of selecting the feature vector.The eigenvalue variables are used to find the eigenvectors corresponding to the large eigenvalue variables.And the problem of signal subspace expansion in AAJD algorithm is solved at low SNR.Secondly, the influence of the accumulation of the eigenvalue variables error is eliminated in the unsteady tracking state.The obtained signal subspace is more accurate.Since the estimated eigenvectors order is random at each time, the ESPRIT algorithm is improved to achieve the automatic pairing of transceiver angle of the same moment and the automatic association of the angle of the adjacent moment.The simulation results show that the improved AAJD algorithm can realize the angle tracking with low signal to noise ratio, and the convergence speed and stability performance are significantly better than AAJD algorithm. © 2019, Chinese Institute of Electronics. All right reserved.
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页码：2480 / 2487
页数：7
相关论文
共 14 条
  • [1] Chen H.W., Li X., Zhuang Z.W., A rising radar system-MIMO Radar, Acta Electronica Sinica, 40, 6, pp. 1190-1198, (2012)
  • [2] Tang B., Zhang Y., Zhang H., Blind separation of MIMO radar signal based on alternating projection, Acta Electronica Sinica, 45, 9, pp. 2092-2097, (2017)
  • [3] Liang H., Cui C., Yu J., Reduced-dimensional DOA estimation based on ESPRIT algorithm in monostatic MIMO radar with cross array, Journal of Electronics & Information Technology, 38, 1, pp. 80-89, (2016)
  • [4] Zheng G.M., Tang J., Yang X., ESPRIT and unitary esprit algorithms for coexistence of circular and noncircular signals inbistatic MIMO radar, IEEE Access, 4, pp. 7232-7240, (2016)
  • [5] Zhang Q., Zhang L.R., Zheng G.M., 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)
  • [6] Tan J., Nie Z.P., Wen D.B., Low complexity MUSIC-based direction-of-arrival formonostatic MIMO radar, Electronics Letters, 53, 4, pp. 275-277, (2017)
  • [7] Li J.F., Jiang D.F., Zhang X.F., DOA estimation based on combined unitary ESPRIT forcoprime MIMO radar, IEEE Communications Letters, 21, 1, pp. 96-99, (2017)
  • [8] Wu H.L., Zhang X.F., DOA tracking inmonostatic MIMO radar using PARAFAC-RLST algorithm, The 3rd International Conference on Information Science and Engineering (ICISE'2011), pp. 958-961, (2011)
  • [9] Zhang X.F., Li J.F., Feng G.P., Et al., Kalman-PASTd based DOA tracking algorithm for monostatic MIMO radar, International Conference on Information, Services and Management Engineering, pp. 220-224, (2011)
  • [10] Yu H.X., Zhang X.F., Chen X.Q., Et al., Computationally efficient DOA tracking algorithm inmonostatic MIMO radar with automatic association, International Journal of Antennas and Propagation, 12, pp. 1-10, (2014)
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