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Featured researches published by Feifeng Liu.


IEEE Transactions on Geoscience and Remote Sensing | 2015

Multiangle BSAR Imaging Based on BeiDou-2 Navigation Satellite System: Experiments and Preliminary Results

Tao Zeng; Dongyang Ao; Cheng Hu; Tian Zhang; Feifeng Liu; Weiming Tian; Kuan Lin

This paper analyzes the multiangle imaging results for bistatic synthetic aperture radar (BSAR) based on global navigation satellite systems (GNSS-BSAR). Due to the shortcoming of GNSS-BSAR images, a multiangle observation and data processing strategy based on BeiDou-2 navigation satellites was put forward to improve the quality of images and the value of system application. Twenty-six BSAR experiments were conducted and analyzed in different configurations. Furthermore, a region-based fusion algorithm using region-of-interest (ROI) segmentation was proposed to generate a high-quality fusion image. Based on the fusion image, typical targets such as water area, vegetation area, and artificial targets were compared and interpreted among single/multiple-angle images. The results reveal that the multiangle imaging method was a good technique to enhance image information, which might extend the applications of GNSS-BSAR.


international radar symposium | 2017

3-dimensional target localization accuracy analysis based on radar network with aerial and ground-based nodes

Taoyu Lu; Feifeng Liu; Lun Tian; Tao Zeng; Teng Long

Radar network has important application in many fields, such as small target detection etc, especially for the case with wide baseline. Until now, the research to the 3-dimensional (3D) target localization accuracy using radar network is still a research focus in the radar community. In this paper, further research to the radar network with aerial and ground-based nodes is carried out, and the analytical expression of 3D target localization accuracy is derived using the Cramer-Rao lower bound (CRLB). Based on the analytical formulae, impacts of the system topology on the target localization accuracy are investigated. Finally, numerical simulations verify the theoretical analysis of the results.


international radar symposium | 2017

GNSS forward scatter radar detection: Signal processing and experiment

Changjiang Liu; Cheng Hu; Rui Wang; Xiaoyu Nie; Feifeng Liu

Passive radar detection systems based on Global Navigation Satellite System (GNSS) signals have the advantages of wide coverage, long detecting distance and good concealment. If effectively combined with the forward scatter radar (FSR) principle, it can be used to monitor an important area, which is of great significance to national defense security. This paper mainly focused on the analysis of signal Doppler characteristics of GNSS FSR. In addition, experimental results obtained with omnidirectional antennas and horn antennas are given.


international geoscience and remote sensing symposium | 2017

Passive SAR with GNSS transmitters: Latest results and research progress

Xuezhen Fan; Feifeng Liu; Tian Zhang; Taoyu Lu; Cheng Hu; Weiming Tian

The passive Synthetic Aperture Radar with Global Navigation Satellite System (GNSS) employs GNSS satellites as transmitters and receivers mounted near the ground. Since GNSS constellations are designed for global, reliable and persistent operation, the most important advantage of such a system is the potential of permanent monitoring on the area which is overlooked by a fixed receiver. In the paper, an experimental prototype of GNSS-based SAR for the purpose of obtaining larger scene images as well as the development progress was introduced at the first place. And then a latest imaging experiment of GNSS-Based SAR for railway bridge was carried out and the image was obtained with high quality when it was firstly used for China Railway High-Speed (CRH) railway bridge imaging. The positive imaging result suggested that it is possible to achieve change information extraction using GNSS-based SAR for the further safety evaluation of CRH operation in China.


international radar conference | 2009

Modified range migration algorithm in SS-BSAR

Feifeng Liu; Haibo Liu; C. Hu


ieee international radar conference | 2012

Coherent change detection using GNSS-based passive SAR: First experimental results

Michail Antoniou; Feifeng Liu; Zhangfan Zeng; V. Sizov; Mikhail Cherniakov


international radar conference | 2013

Experimental image formation of SS-BiSAR systems with fixed receiver using modified RMA algorithm

Feifeng Liu; Cheng Hu; Mike Antoniou; Tao Zeng; M. Cherniakov


IEEE Transactions on Geoscience and Remote Sensing | 2018

GNSS-Based SAR Interferometry for 3-D Deformation Retrieval: Algorithms and Feasibility Study

Feifeng Liu; Xuezhen Fan; Tian Zhang; Quanhua Liu


2018 2nd URSI Atlantic Radio Science Meeting (AT-RASC) | 2018

Dual-frequency Motion Compensation for SISAR Imaging in Forward Scatter Radar

Feifeng Liu; Changjiang Liu; Rui Wang; Cheng Hu


international geoscience and remote sensing symposium | 2017

Experimental design and data processing of twin GEO SAR interferometry based on Beidou IGSO satellites

Cheng Hu; Bin Zhang; Xichao Dong; Chang Cui; Feifeng Liu

Collaboration


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Cheng Hu

Beijing Institute of Technology

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Tao Zeng

Beijing Institute of Technology

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Tian Zhang

Beijing Institute of Technology

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Weiming Tian

Beijing Institute of Technology

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Changjiang Liu

Beijing Institute of Technology

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Rui Wang

Beijing Institute of Technology

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Taoyu Lu

Beijing Institute of Technology

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Xuezhen Fan

Beijing Institute of Technology

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Bin Zhang

Beijing Institute of Technology

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C. Hu

Beijing Institute of Technology

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