A Robust Translational Motion Compensation Method for ISAR Imaging Under Low SNR Environment

被引:0
|
作者
Li D. [1 ,2 ]
Zhao T. [1 ]
Song W. [1 ]
Liu Q.-H. [2 ]
Zeng H. [3 ]
Zhang C.-X. [1 ]
机构
[1] Center of Communication and Tracking Telemetering Command, Chongqing University, Chongqing
[2] Guangxi Key Laboratory of Wireless Wideband Communication and Signal Processing, Guilin
[3] College of Communication Engineering, Chongqing University, Chongqing
来源
关键词
Coherent integrated cubic phase function (CICPF); Inverse synthetic aperture radar (ISAR); Keystone transform (KT); Low signal-to-noise ratio(SNR); Phase differencing (PD);
D O I
10.3969/j.issn.0372-2112.2018.09.001
中图分类号
学科分类号
摘要
Inverse synthetic aperture radar (ISAR) imaging for long range small/stealthy target plays an important role in the field of national defense surveillance. However, the performances of the traditional envelop-based range alignment method dramatically degrade due to low signal-to-noise ratio (SNR) of received echo signal, which leads to the inapplicability for the subsequent phase adjustment or azimuth focus. In this paper, a parametric-based approach is proposed to perform joint range alignment and phase adjustment. To that end, translational motion is modeled as multi-component polynomial phase signal (PPS), and inspired by the fact that all the scatterers in the moving target experience the same translational range history, the phase difference (PD) operation and Keystone transform (KT) are utilized to transform the energy of all the scatterers into one range cell. Second, a coherently integrated cubic phase function (CICPF) is developed to focus the energy of all the scatterers onto a peak point, from which the polynomial coefficients can be obtained accurately to realize the translational motion compensation in low SNR environment. Finally, theoretical analysis and experimental results are also provided to validate the effectiveness of the proposed method. © 2018, Chinese Institute of Electronics. All right reserved.
引用
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页码:2049 / 2056
页数:7
相关论文
共 14 条
  • [1] Wang Y., Lin Y., ISAR imaging of non-uniformly rotating target via range instantaneous Doppler derivatives algorithm, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 7, 1, pp. 167-176, (2013)
  • [2] Li D., Liu H., Gui X., Et al., An efficient ISAR imaging method for maneuvering target based on Synchrosqueezing transform, IEEE Antennas and Wireless Propagation Letters, 15, pp. 1317-1320, (2016)
  • [3] Chen C., Andrews H., Target motion induced radar imaging, IEEE Transactions on Aerospace and Electronic Systems, 16, 1, pp. 2-14, (1980)
  • [4] Wang J., Liu X., Improved global range alignment for ISAR, IEEE Transactions on Aerospace and Electronic Systems, 39, 1, pp. 351-357, (2007)
  • [5] Wang J., Liu X., Improved global range alignment for ISAR, IEEE Transactions on Aerospace and Electronic Systems, 39, 1, pp. 351-357, (2007)
  • [6] Zhu D., Wang L., Yu Y., Et al., Robust ISAR range alignment via minimizing the entropy of the average range profile, IEEE Geoscience and Remote Sensing Letters, 6, 2, pp. 204-208, (2009)
  • [7] Liu Z., Liao G., Yang Z., An iterative weighted fitting method for ISAR envelope alignment under low SNR, Acta Electronica Sinica, 40, 4, pp. 799-804, (2012)
  • [8] Zhang L., Sheng J.L., Duan J., Et al., Translational motion compensation for ISAR imaging under low SNR by minimum entropy, Eurasip Journal on Advances in Signal Processing, 2013, 1, (2013)
  • [9] Liu L., Zhou F., Tao M., Et al., Adaptive translational motion compensation method for ISAR imaging under low SNR based on particle swarm optimization, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 8, 11, pp. 5146-5157, (2015)
  • [10] Barbarossa S., Scaglione A., Giannakis G., Product high-order ambiguity function for multicomponent polynomial-phase signal modeling, IEEE Transactions. on Signal Processing, 46, 3, pp. 691-708, (2016)