Abstract
In this paper, the impact of several polarization distortions on geometrical structure retrieval of man-made targets in inverse synthetic aperture radar (ISAR) images is assessed. For polarimetric ISAR, the polarization distortions are usually composed of crosstalk and channel imbalance. For non-stationary targets, a residual phase error exists between two columns of the scattering matrix in the alternate transmission and simultaneous reception (ATSR) mode, especially when the radar frequency is high. These two kinds of distortions have varying influences on different targets, as well as different decomposition methods. Some theoretical derivations and numerical analyses are given to reveal the impact of these distortions on Cameron decomposition. To evaluate the impact of these distortions on geometrical structure retrieval, we use the numerical results and real data of an unmanned aerial vehicle (UAV) called Frontier to perform error analysis of both the decomposition and the retrieved size of the designated structures of the UAV. Some numerical evaluations were conducted from the perspective of system design, and these results can be useful for the practical radar system.
Highlights
Polarimetry, which reveals more geometry- and composition-related properties of targets, can be used to retrieve the geometry characteristics, such as the location, the type, and the size of the canonical scatterers, which give great significance to target interpretation as well as target recognition [1,2,3]
We aim to provide some numerical requirements for the system design of the end application of geometrical structure retrieval (GSR)
With respect to evaluating the impact of various distortions on polarimetric parameters from the perspective of applications, there are some studies in the literature [15,16,17] that have focused on the field of terrain surface classification; Wang Y defined the maximum normalized error (MNE) as a generic metric to bridge the system polarization distortion and the polarimetric measurement quality [15]
Summary
Polarimetry, which reveals more geometry- and composition-related properties of targets, can be used to retrieve the geometry characteristics, such as the location, the type, and the size of the canonical scatterers, which give great significance to target interpretation as well as target recognition [1,2,3]. Researchers have mainly focused on ways to accurately extract the scattering centers of targets and obtain accurate geometrical features from the perspective of the application These studies seldom focused on the impact of polarization distortions, such as radar system distortions, among others. With respect to evaluating the impact of various distortions on polarimetric parameters from the perspective of applications, there are some studies in the literature [15,16,17] that have focused on the field of terrain surface classification; Wang Y defined the maximum normalized error (MNE) as a generic metric to bridge the system polarization distortion and the polarimetric measurement quality [15]. The MNE cannot be directly used in the field of GSR Another method [17] evaluates the impact of crosstalk contamination by the first-order derivatives of two Cameron parameters of terrain surface classification and man-made target detection.
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