An Algorithm to Detect the Presence of 3D Target Motion from ISAR Data
Multidimensional Systems and Signal Processing
Analysis of polynomial-phase signals by the integrated generalizedambiguity function
IEEE Transactions on Signal Processing
Product high-order ambiguity function for multicomponentpolynomial-phase signal modeling
IEEE Transactions on Signal Processing
A fast algorithm for estimating the parameters of a quadratic FM signal
IEEE Transactions on Signal Processing
IEEE Transactions on Image Processing
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Inverse synthetic aperture radar (ISAR) imaging of ship target is very important in the national defense. The imaging condition for ship target is very complicated due to the complexity of the ship's movement, and a three-dimensional (3D) rotation occurs for the ship with the oceanic waves. Furthermore, the multi-path effect can not be avoided in most circumstance. In general, the received signal for a 3D rotation ship target can be characterized as multi-component polynomial phase signals (PPS), and the parametric method can be used to obtain the instantaneous ISAR images. In this paper, the received signal is considered as multi-component cubic phase signal, and a new method for ISAR imaging of ship target with 3D rotation by the product high order bilinear matched-phase transform (PHBMT) is proposed. The instantaneous ISAR image is obtained, and the multi-path effect can be eliminated by separating the ISAR image in the range-instantaneous-Doppler domain. Results of real data validate the effectiveness of the new approach presented.