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Copyright of Telecommunication Engineering is the property of Telecommunication Engineering and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

The applications in both the military and civil field have pressing needs and great expectations of achieving the target higher resolution and more detailed description. This paper firstly modeled the object-level SAR observations based on attributed scattering center(ASC) model in sparse representation framework. Secondly.it proposed a classifying strategy of the taiget attributes space for the object-level reconstruction in signal domain. Combined with data extrapolating,then it proposed a stochastic gradient minimum variance pursuit (SGMVP) based object-level super-resolution reconstruction algorithm. It finally achieved super-resolution image by FFT to effectively promotethe efficiency of the proposed algorithm. The proposed algorithm not only can achieve improved super-resolution image,but also provide accurate physically-relevant attributed features of the scatterers simultaneously. Experimental results confirm the effectiveness of the proposed algorithm. [ABSTRACT FROM AUTHOR]

Copyright of Application Research of Computers / Jisuanji Yingyong Yanjiu is the property of Application Research of Computers Edition and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Aiming at the problem of existing locating blind zones in the region near the satellite ground track of the TDOA and FDOA dual-satellite geolocation system, this paper proposed a joint geolocation algorithm with AOA/TDOA/ FDOA measurements. It used a more accurate earth model called WGS_84 to construct subspace based vector identity and earth surface constraints, and to get the pseudo-linear positioning equation for joint observation. It realized dual-satellite high accurate joint positioning with TDOA/FDOA/ AOA . This paper compared TDOA and FDOA algorithm with the proposed method in the same scene. Simulation results show that the proposed algorithm can ease the defects of TDOA and FDOA dual-satellite geolocation, and increase the precision in the region near the satellite ground track by at least twice times. [ABSTRACT FROM AUTHOR]