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136 results on '"Chen, Zhanye"'

4. Machine Learning Methods for SAR Interference Mitigation

Author

Huang, Yan, Zhang, Lei, Li, Jie, Tao, Mingliang, Chen, Zhanye, Hong, Wei, Pardalos, Panos M., Series Editor, Thai, My T., Series Editor, Du, Ding-Zhu, Honorary Editor, Belavkin, Roman V., Advisory Editor, Birge, John R., Advisory Editor, Butenko, Sergiy, Advisory Editor, Kumar, Vipin, Advisory Editor, Nagurney, Anna, Advisory Editor, Pei, Jun, Advisory Editor, Prokopyev, Oleg, Advisory Editor, Rebennack, Steffen, Advisory Editor, Resende, Mauricio, Advisory Editor, Terlaky, Tamás, Advisory Editor, Vu, Van, Advisory Editor, Vrahatis, Michael N., Advisory Editor, Xue, Guoliang, Advisory Editor, Ye, Yinyu, Advisory Editor, Rysz, Maciej, editor, Tsokas, Arsenios, editor, Dipple, Kathleen M., editor, and Fair, Kaitlin L., editor

Published
2022
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16. Review of Synthetic Aperture Radar Interference Suppression

Author

HUANG Yan, ZHAO Bo, TAO Mingliang, CHEN Zhanye, and HONG Wei

Subjects
synthetic aperture radar (sar), suppressed jamming, deceptive jamming, interference suppression, Electricity and magnetism, QC501-766
Abstract

Synthetic Aperture Radar (SAR) has attracted much attention in the recent decades owing to its allweather and high-resolution working mode. As an active radar system, the high-resolution imaging process of SAR systems is affected by different types of strong, complex, and variable electromagnetic interferences that can severely affect the final high-resolution SAR imaging results. Thus, developing ways to effectively suppress complex electromagnetic interferences is a major challenge and focus of SAR detection. In this paper, we summarize the key elements and main concepts underlying interference suppression in high-resolution SAR imaging, including different interference patterns, interference sources, interference scattering mechanisms, radar antenna configurations, and target characteristics. We then consider the essential task of interference suppression algorithms. Recent papers that detail the representative SAR algorithms used to mitigate suppressed and deceptive jamming are introduced and summarized to provide references for future research.

Published
2020
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17. Deceptive Jamming Suppression on Single-Channel Synthetic Aperture Radar via Group Phase Coding

Author

Chen, Jiale, Huang, Yan, Guan, Xinyu, Deng, Kun, Wen, Cai, Chen, Zhanye, Gu, Tong, and Hong, Wei

Abstract

Due to the strong consistency with the synthetic aperture radar (SAR) system, deceptive jamming can be well integrated with SAR images and has high concealment. Therefore, deceptive jamming suppression in SAR is an urgent problem that needs to be solved. This article proposes a slow-time group phase coding (GPC) scheme for deceptive jamming suppression. Specifically, the proposed method can be divided into three steps: first, by using the slow-time GPC, the SAR transmitted signals are encoded separately in pulses and divided into two groups. Second, based on each group of signals, we propose a new optimization problem to reconstruct the SAR images and eliminate the unmatched deceptive jamming, i.e., the deceptive jamming combined with the second kind of GPC is unmatched with the first kind of GPC. Third, due to the design of GPC, each group of signals generates a SAR image where the scene stays almost the same, while the residual matched deceptive jamming is located at different azimuths. In this context, this difference is successfully used to eliminate the remaining deceptive jamming. Finally, the RADARSAT-1 and MiniSAR datasets are used to evaluate the effectiveness of the proposed method.

Published
2024
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18. Integration and Detection of a Moving Target with Multiple Beams Based on Multi-Scale Sliding Windowed Phase Difference and Spatial Projection.

Author

Hu, Rensu, Li, Dong, Wan, Jun, Kang, Xiaohua, Liu, Qinghua, Chen, Zhanye, and Yang, Xiaopeng

Subjects
MULTIPLE target tracking, MIMO radar, PARAMETER estimation, GEOMETRIC modeling, RADAR
Abstract

Due to the fast scanning speed of the current phased-array radar and the moving characteristics of the target, the moving target usually spans multiple beams during coherent integration time, which results in severe performance loss for target focusing and parameter estimation because of the unknown entry/departure beam time within the coherent period. To solve this issue, a novel focusing and detection method based on the multi-beam phase compensation function (MBPCF), multi-scale sliding windowed phase difference (MSWPD), and spatial projection are proposed in this paper. The proposed method mainly includes the following three steps. First, the geometric and signal models of multiple beam integration with observed moving targets are accurately established where the range migration (RM), Doppler frequency migration (DFM), and beam migration (BM) are analyzed. Based on that, the BM is eliminated by the MBPCF, the second-order keystone transform (SOKT) is utilized to mitigate the RM, and then, a new MSWPD operation is developed to estimate the target's entry/departure beam time, which realizes well-focusing output within the beam. After that, by dividing the radar detection area, the spatial projection (SP) method is adopted to obtain multiple-beams joint integration, and thus, improved detection performance can be obtained. Numerical experiments are carried out to evaluate the performance of the proposed method. The results show that the proposed method could achieve superior focusing and detection performances. [ABSTRACT FROM AUTHOR]

Published
2023
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49. A Doppler Ambiguity Tolerated Method for Radar Sensor Maneuvering Target Focusing and Detection

Author

Linrang Zhang, Yu Zhou, Jun Wan, and Chen Zhanye

Subjects
Pulse repetition frequency, Computer science, 010401 analytical chemistry, Residual, 01 natural sciences, 0104 chemical sciences, symbols.namesake, Radar engineering details, symbols, Electrical and Electronic Engineering, Focus (optics), Instrumentation, Algorithm, Doppler effect
Abstract

Maneuvering target detection is a challenging task for modern radar sensor applications. Range migration (RM) and Doppler frequency migration (DFM) lead to serious coherent integration loss, which affects the performance of maneuvering target focusing and detection. Moreover, Doppler ambiguity can easily appear due to the limitation of pulse repetition frequency; thus, maneuvering targets become difficult to focus correctly. In this paper, a new Doppler ambiguity tolerated method is proposed to focus and detect maneuvering targets with jerk motions. First, the order of RM and DFM is reduced by multiplying the signals before and after the time reversal operation. Second, generalized modified keystone transform is proposed to eliminate residual RM and DFM simultaneously. Subsequently, a well-focused result is obtained. In comparison with the traditional keystone transform (KT) or second-order KT based methods, the proposed method works well in situations wherein Doppler center blur and spectrum ambiguity appear. Moreover, the computational complexity of the proposed method is remarkably reduced in comparison with that of multidimensional parameter searching methods. These advantages show that the proposed method achieves balance between detection performance and computational load. The experiment results validate the effectiveness of the proposed method.

Published
2019

50. Ground moving target focusing and motion parameter estimation method via MSOKT for synthetic aperture radar

Author

Yu Zhou, Linrang Zhang, Jun Wan, and Chen Zhanye

Subjects
Synthetic aperture radar, Estimation theory, Computer science, Doppler radar, 020206 networking & telecommunications, 02 engineering and technology, Curvature, Object detection, law.invention, symbols.namesake, law, Radar imaging, Signal Processing, 0202 electrical engineering, electronic engineering, information engineering, symbols, Range (statistics), 020201 artificial intelligence & image processing, Electrical and Electronic Engineering, Algorithm, Doppler effect
Abstract

In this study, a ground moving target focusing and motion parameter estimation method based on modified second-order keystone transform (MSOKT) have been proposed for a synthetic aperture radar. Firstly, a cross-track velocity matching compensation function is derived to remove range walk migration and estimate the cross-track velocity of the moving target. Secondly, an MSOKT is proposed to remove the range curvature and Doppler frequency migration simultaneously. Lastly, a well-focused result of the moving target is obtained, and the motion parameters of the moving target are estimated. Compared with the traditional KT-based method, the proposed method works well in situations where Doppler centre blur and Doppler spectrum ambiguity are present. The computational complexity of the proposed method is considerably lower than that of the traditional optimum method, such as Radon-Lv's distribution. Simulation and real data processing results validate the effectiveness of the proposed method.

Published
2019

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