Improved NLCS algorithm based on ellipse model for one-stationary bistatic SAR with large baseline

被引：0
|
作者：
Zhong H. [1 ]
Hu J. [1 ]
Zhang S. [1 ]
Sun M. [1 ]
机构：
[1] School of Communication Engineering, Hangzhou Dianzi University, Hangzhou
来源：
Dianzi Yu Xinxi Xuebao/Journal of Electronics and Information Technology | 2016年 / 38卷 / 12期
基金：
中国国家自然科学基金;
关键词：
Bistatic SAR; Ellipse model; Non-Linear Chirp Scaling (NLCS); One-stationary; SAR imaging;
D O I：
10.11999/JEIT161016
中图分类号：
学科分类号：
摘要：
In One-Stationary Bistatic Synthetic Aperture Radar (OS-BiSAR) imaging, imprecise description of 2-D range-azimuth space-variant property usually leads to deterioration of final SAR image rapidly. In order to solve this issue, a new ellipse model is proposed to precisely describe range-azimuth space-variant property of OS-BiSAR with large baseline, and an improved Non-Linear Chirp Scaling (NLCS) algorithm is also derived based on this model. First, a phase de-ramp operation is performed to remove the linear Range Cell Migration (RCM) and Doppler centroid in range frequency domain. Then, the residual RCM and high order range-azimuth coupling terms are removed. Thirdly, a new ellipse model is established to describe range-azimuth space-variant property of OS-BiSAR, and then the azimuth frequency modulation rate of space-variant echo is analyzed. Moreover, azimuth scaling function of NLCS and azimuth compression factors are re-derived. Theoretical analysis and simulation results show that the proposed model not only reveals the property of 2-D azimuth-variant in OS-BiSAR, but also provides a precise analytical expression to depict the 2-D range-azimuth space-variant property of OS-BiSAR. Furthermore, simulation results validate that the improved NLCS algorithm based on this new model has high imaging performance. © 2016, Science Press. All right reserved.
引用
收藏
页码：3174 / 3181
页数：7
相关论文
共 15 条
  • [1] Yang J.Y., Bistatic synthetic aperture radar technology, Journal of University of Electronic Science and Technology of China, 45, 4, pp. 482-501, (2016)
  • [2] Zeng T., Bistatic SAR: State of the art and development trend, Journal of Radars, 1, 4, pp. 329-341, (2012)
  • [3] Meng Z., Li Y., Xing M., Et al., Phase space-variance correction method for missile-borne bistatic forward-looking SAR based on equivalent range equation, Journal of Electronics & Information Technology, 38, 3, pp. 613-621, (2016)
  • [4] Li Z.Y., Wu J.J., Huang Y.L., Et al., Ground-moving target imaging and velocity estimation based on mismatched compression for bistatic forward-looking SAR, IEEE Transactions on Geoscience and Remote Sensing, 54, 6, pp. 3277-3291, (2016)
  • [5] Chen S., Yuan Y., Zhang S.N., Et al., A new imaging algorithm for forward-looking missile-borne bistatic SAR, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 9, 4, pp. 1543-1552, (2016)
  • [6] Zhang H., Deng Y.K., Wang R., Et al., Spaceborne/stationary bistatic SAR imaging with TerraSAR-X as an illuminator in staring-spotlight mode, IEEE Transactions on Geoscience and Remote Sensing, 54, 9, pp. 5203-5216, (2016)
  • [7] Wang R., Wang W., Shao Y.F., Et al., First bistatic demonstration of digital beamforming in elevation with TerraSAR-X as an illuminator, IEEE Transactions on Geoscience and Remote Sensing, 54, 2, pp. 842-849, (2016)
  • [8] Zeng T., Hu C., Wu L.X., Et al., Extended NLCS algorithm of BiSAR systems with a squinted transmitter and a fixed receiver: Theory and experimental confirmation, IEEE Transactions on Geoscience and Remote Sensing, 51, 10, pp. 5019-5030, (2013)
  • [9] Qiu X.L., Hu D.H., Ding C.B., An improved NLCS algorithm with capability analysis for one-stationary BiSAR, IEEE Transactions on Geoscience and Remote Sensing, 46, 10, pp. 3179-3186, (2008)
  • [10] Wong F.H., Yeo T.S., New applications of nonlinear chirp scaling in SAR data processing, IEEE Transactions on Geoscience and Remote Sensing, 39, 5, pp. 946-953, (2001)
12