Algorithm of the radar imaging by using the wideband signals with the distorted signal phases
EURASIP Journal on Applied Signal Processing
Use of genetic algorithms for contrast and entropy optimization in ISAR autofocusing
EURASIP Journal on Applied Signal Processing
Eigenspace-based motion compensation for ISAR target imaging
EURASIP Journal on Applied Signal Processing
Adaptive S-method for SAR/ISAR imaging
EURASIP Journal on Advances in Signal Processing
ISAR imaging of maneuvering targets based on the range centroid doppler technique
IEEE Transactions on Image Processing
Two-dimensional imaging via a narrowband MIMO radar system with two perpendicular linear arrays
IEEE Transactions on Image Processing
Sparse array 3-D ISAR imaging based on maximum likelihood estimation and CLEAN technique
IEEE Transactions on Image Processing
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In inverse synthetic aperture radar (ISAR) imaging, the target rotational motion with respect to the radar line of sight contributes to the imaging ability, whereas the translational motion must be compensated out. This paper presents a novel two-step approach to translational motion compensation using an adaptive range tracking method for range bin alignment and a recursive multiple-scatterer algorithm (RMSA) for signal phase compensation. The initial step of RMSA is equivalent to the dominant-scatterer algorithm (DSA). An error-compensating point source is then recursively synthesized from the selected range bins, where each contains a prominent scatterer. Since the clutter-induced phase errors are reduced by phase averaging, the image speckle noise can be reduced significantly. Experimental data processing for a commercial aircraft and computer simulations confirm the validity of the approach