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.
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
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
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, 1984.
doi:10.1109/TAES.1984.4502060
5. Bao, Z., , M. D. Xing, and T. Wang, Radar Imaging Technique, Publish House Electron. Ind., Beijing, 2005.
6. Chen, V. C. and H. Ling, Time Frequency Transforms for Radar Imaging and Signal Analysis, Artech House, MA, 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
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, 2003.
doi:10.1049/ip-rsn:20030670
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
10. Shih, Y., "Quantum imaging," IEEE Journal of Selected Topics in Quantum Electronics, Vol. 13, No. 4, 1016-1030, 2007.
doi:10.1109/JSTQE.2007.902724
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
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
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