volume | PIER Journals

Abstract

Two dimensional (2D) radar coincidence imaging is an instantaneous imaging technique which can obtain 2D focused high-resolution images using a single pulse without the limitation to the target relative motions. This paper extends the imaging method to three dimensions. Such a three-dimensional (3D) radar imaging technique does not rely on Doppler frequency for resolution and has an extremely short imaging time (shorter than a pulse width), resulting in two remarkable properties: 1) it does not require the relative rotation between targets and radar; 2) it can considerably avoid the image blurring in processing noncooperative targets without motion compensation. 3D radar coincidence imaging consequently can derive high-quality images for either the targets that are stationary with respect to radars or the ones in maneuvering 3D rotations. The validity of the proposed imaging technique is confirmed by numerical simulations.

1. Soumekh, M., "Automatic aircraft landing using interferometric inverse synthetic aperture radar imaging," IEEE Trans. Image Process., Vol. 5, No. 9, 1335-1345, Sep. 1996.
doi:10.1109/83.535845 Google Scholar

2. Mayhan, J. T., et al. "High resolution 3D snapshot ISAR imaging and feature extraction," IEEE Trans. Aerosp. Electron. Syst., Vol. 37, No. 2, 630-642, 2001.
doi:10.1109/7.937474 Google Scholar

3. Fortuny, J., "An efficient 3-D near-field ISAR algorithm," IEEE Trans. Aerosp. Electron. Syst., Vol. 34, No. 4, 1261-1270, 1998.
doi:10.1109/7.722713 Google Scholar

4. Ausherman, D. A., A. Kozma, J. L. Walker, H. M. Jones, and E. C. Poggio, "Developments in radar imaging," IEEE Trans. Aerosp. Electron. Syst., Vol. 20, No. 4, 363-400, Jul. 1984.
doi:10.1109/TAES.1984.4502060 Google Scholar

5. Bao, Z., M. D. Xing, and T. Wang, Radar Imaging Technique, Publish House Electron. Ind., 2005.

6. Chen, V. C. and H. Ling, Time Frequency Transforms for Radar Imaging and Signal Analysis, Artech House, 2002.

7. Itoh, T., H. Sueda, and Y. Watanabe, "Motion compensation for ISAR via centroid tracking," IEEE Trans. Aerosp. Electron. Syst., Vol. 32, No. 3, 1191-1197, 1996.
doi:10.1109/7.532283 Google Scholar

8. Thayaparan, T., G. Lampropoulos, S. K. Wong, and E. Rise-borough, "Application of adaptive joint time-frequency algorithm for focusing distorted ISAR images from simulated and measured for focusing distorted ISAR images from simulated and measured ," IEE Proc. --- Radar Sonar Navig., Vol. 150, No. 4, 213-220, Aug. 2003.
doi:10.1049/ip-rsn:20030670 Google Scholar

9. Li, D., et al. "Radar coincidence imaging: An instantaneous imaging technique with stochastic signals," IEEE Trans. Geosci. Remote Sens., No. 99, 1, 2013.
doi:http://dx.doi.org/10.1109/TGRS.2013.2258929 Google Scholar

10. Shih, Y., "Quantum imaging," IEEE Journal of Selected Topics in Quantum Electronics, Vol. 13, No. 4, 1016-1030, Jul./Aug 2007.
doi:10.1109/JSTQE.2007.902724 Google Scholar

11. Margaret, C. and B. Brett, Fundamentals of Radar Imaging, SIAM, PA, 2009.

12. Liu, H.-Q., H.-C. So, K. W. K. Lui, and F. K. W. Chan, "Sensor selection for target tracking in sensor networks," Progress In Electromagnetics Research, Vol. 95, 267-282, 2009.
doi:10.2528/PIER09070802 Google Scholar

13. Liu, H.-Q. and H.-C. So, "Target tracking with line-of-sight identi¯cation in sensor networks under unknown measurement noises ," Progress In Electromagnetics Research , Vol. 97, 373-389, 2009.
doi:10.2528/PIER09090701 Google Scholar

14. Gatti, A., E. Brambilla, M. Bache, and L. A. Lugiato, "Ghost imaging with thermal light: Comparing entanglement and classical correlation ," Phys. Rev. Lett., Vol. 93, No. 9, 093602, 2004.
doi:10.1103/PhysRevLett.93.093602 Google Scholar

Dr. Dongze Li

Dr. Xiang Li

Dr. Yongqiang Cheng

Dr. Yu-Liang Qin

Dr. Hongqiang Wang