Abstract
Circular synthetic sperture radar (CSAR) can observe the target in 360° and obtain the target's total scattering information. By dividing the CSAR imaging data into subapertures, the target digital elevation model (DEM) information can be directly obtained. Aiming at the problems existing in the division and selection of subapertures when acquiring DEM, this article proposes a chain correlation method. First, the echo data of the full aperture is divided into multiple subapertures; then, the correlation between the two adjacent subapertures is used to perform correlation processing on the subaperture image, and then the DEM information is obtained. The chain correlation method proposed in this article takes advantage of the stronger correlation between adjacent subapertures, improves the accuracy of the algorithm, and effectively improves the overall efficiency of the algorithm. Finally, the effectiveness and reliability of the proposed method is verified by different measured data, and it is the first time our own collected Ku-band experimental data are used.
Highlights
SYNTHETIC Aperture Radar (SAR) imaging technology, as an important high-resolution earth observation technology method [1], has the characteristics of all-weather and all-day compared with optical radar
In order to verify the effectiveness of the algorithm proposed in this paper, this paper selects the Gotcha experimental data publicly released by Air Force Research Laboratory (AFRL) in 2006 for comparison and verification
The entire circle data is divided into 120 sub-apertures, and focused imaging is performed through the back projection (BP) algorithm
Summary
Abstract—Circular Synthetic Aperture Radar (CSAR) can observe the target in 360°and obtain the target's total scattering information. By dividing the CSAR imaging data into sub-apertures, the target digital elevation model (DEM) information can be directly obtained. Aiming at the problems existing in the division and selection of sub-apertures when acquiring DEM, this paper proposes a chain correlation method. The echo data of the full aperture is divided into multiple sub-apertures; the correlation between the two adjacent sub-apertures is used to perform correlation processing on the sub-aperture image, and the DEM information is obtained. The chain correlation method proposed in this paper takes advantage of the stronger correlation between adjacent sub-apertures, improves the accuracy of the algorithm and effectively improves the overall efficiency of the algorithm.
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