Three Dimensional Radar Coincidence Imaging

Two dimensional (2D) radar coincidence imaging is an instantaneous imaging technique which can obtain 2D focused highresolution 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]  George A. Lampropoulos,et al.  Application of adaptive joint time-frequency algorithm for focusing distorted ISAR images from simulated and measured radar data , 2003 .

[2]  Mehrdad Soumekh Automatic aircraft landing using interferometric inverse synthetic aperture radar imaging , 1996, IEEE Trans. Image Process..

[3]  Kevin M. Cuomo,et al.  High resolution 3D "snapshot" ISAR imaging and feature extraction , 2001 .

[4]  A. Gatti,et al.  Ghost imaging with thermal light: comparing entanglement and classical correlation. , 2003, Physical review letters.

[5]  Xiang Li,et al.  Radar Coincidence Imaging: an Instantaneous Imaging Technique With Stochastic Signals , 2014, IEEE Transactions on Geoscience and Remote Sensing.

[6]  T. Itoh,et al.  Motion compensation for ISAR via centroid tracking , 1996, IEEE Transactions on Aerospace and Electronic Systems.

[7]  Y. Shih Quantum Imaging , 2007, IEEE Journal of Selected Topics in Quantum Electronics.

[8]  H. C. So,et al.  Target tracking with line-of-sight identification in sensor networks under unknown measurement noises , 2009 .

[9]  Dale A. Ausherman,et al.  Developments in Radar Imaging , 1984, IEEE Transactions on Aerospace and Electronic Systems.

[10]  J. Fortuny An efficient 3-D near-field ISAR algorithm , 1998 .

[11]  Hao Ling,et al.  Time-Frequency Transforms for Radar Imaging and Signal Analysis , 2002 .

[12]  Hing Cheung So,et al.  SENSOR SELECTION FOR TARGET TRACKING IN SENSOR NETWORKS , 2009 .