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2022 3rd China International SAR Symposium (CISS)最新文献

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Absolute Phase Estimation for Spaceborne InSAR Data 星载InSAR数据的绝对相位估计
2022 3rd China International SAR Symposium (CISS) Pub Date : 2022-11-02 DOI: 10.1109/CISS57580.2022.9971426
Zhao Zhang, Zheyi Jiang, HuiWang, Junyi Xu, Rui Guo
{"title":"Absolute Phase Estimation for Spaceborne InSAR Data","authors":"Zhao Zhang, Zheyi Jiang, HuiWang, Junyi Xu, Rui Guo","doi":"10.1109/CISS57580.2022.9971426","DOIUrl":"https://doi.org/10.1109/CISS57580.2022.9971426","url":null,"abstract":"For interferometric synthetic aperture radar (InSAR) processing, the accuracy of absolute phase has an important impact on subsequent elevation inversion. In this paper, a novel absolute phase determination approach is proposed which includes the residual ambiguity estimation. The proposed approach is verified by the experiments with spaceborne repeat-pass InSAR data.","PeriodicalId":331510,"journal":{"name":"2022 3rd China International SAR Symposium (CISS)","volume":"43 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129233670","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Texture Enhancement Method of Oceanic Internal Waves in SAR Images Based on Non-local Mean Filtering and Multi-scale Retinex 基于非局部均值滤波和多尺度Retinex的SAR图像海洋内波纹理增强方法
2022 3rd China International SAR Symposium (CISS) Pub Date : 2022-11-02 DOI: 10.1109/CISS57580.2022.9971169
Zhenghua Chen, Hongcheng Zeng, Wei Yang, Jie Chen
{"title":"Texture Enhancement Method of Oceanic Internal Waves in SAR Images Based on Non-local Mean Filtering and Multi-scale Retinex","authors":"Zhenghua Chen, Hongcheng Zeng, Wei Yang, Jie Chen","doi":"10.1109/CISS57580.2022.9971169","DOIUrl":"https://doi.org/10.1109/CISS57580.2022.9971169","url":null,"abstract":"Synthetic aperture radar (SAR) remote sensing is an important tool to observe oceanic internal waves. However, due to the imaging mechanism of the oceanic internal wave phenomenon, the texture details of oceanic internal waves in SAR images are often not obvious enough, which affects the subsequent applications. To solve this problem, a texture enhancement method of oceanic internal waves in SAR images is proposed in this paper, which is based on non-local mean (NLM) filtering and multi-scale Retinex (MSR). Firstly, the NLM filtering is performed to reduce the effect of speckle noise on texture enhancement. Then, the MSR is adopted to process the filtered SAR image to enhance the texture features of oceanic internal waves. Based on the real SAR images of the Gaofen-3 satellite, the experiment of texture feature enhancement of oceanic internal wave SAR images is carried out, and the experimental results demonstrate that the proposed method can effectively suppress the image noise and significantly enhance the internal wave texture.","PeriodicalId":331510,"journal":{"name":"2022 3rd China International SAR Symposium (CISS)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129428099","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
CISS 2022 IEEE Copyright Page CISS 2022 IEEE版权页面
2022 3rd China International SAR Symposium (CISS) Pub Date : 2022-11-02 DOI: 10.1109/ciss57580.2022.9971346
{"title":"CISS 2022 IEEE Copyright Page","authors":"","doi":"10.1109/ciss57580.2022.9971346","DOIUrl":"https://doi.org/10.1109/ciss57580.2022.9971346","url":null,"abstract":"","PeriodicalId":331510,"journal":{"name":"2022 3rd China International SAR Symposium (CISS)","volume":"51 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121585011","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Feature Enhancement Kernel Dictionary Learning for Radar Target Recognition 雷达目标识别的特征增强核字典学习
2022 3rd China International SAR Symposium (CISS) Pub Date : 2022-11-02 DOI: 10.1109/CISS57580.2022.9971193
Zhicheng Wang, Hui Xu, Si Chen, Zhijun Zhang, M. Shi, Yesheng Gao
{"title":"Feature Enhancement Kernel Dictionary Learning for Radar Target Recognition","authors":"Zhicheng Wang, Hui Xu, Si Chen, Zhijun Zhang, M. Shi, Yesheng Gao","doi":"10.1109/CISS57580.2022.9971193","DOIUrl":"https://doi.org/10.1109/CISS57580.2022.9971193","url":null,"abstract":"Radar target recognition technology is widely used in modern society. With the improvement of radar range resolution, radar echo target and jamming background echo can be distinguished by radar high-resolution information. This paper presents a feature enhancement kernel dictionary learning (FEK-DL) method for automatic radar target recognition (ATR). In order to enhance features of images for data enhancement and noise suppression, a matrix approximation method is used for multi-structure feature extraction. Instead of using traditional linear dictionary learning method, non-linear kernel function is used to map the targets into a high-dimensional space, in order to obtain a better classification performance. The training method and optimization steps of FEK-DL are presented in this paper. We carried out the experiment based on radar dataset to demonstrate the effectiveness of the proposed classification algorithm. The experimental results show that the classification algorithm has better classification performance than some representative dictionary learning algorithms.","PeriodicalId":331510,"journal":{"name":"2022 3rd China International SAR Symposium (CISS)","volume":"13 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122482104","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
A Constant Current and Constant Voltage Charging Circuit through MPPT Method and Its Stability Analysis MPPT法恒流恒压充电电路及其稳定性分析
2022 3rd China International SAR Symposium (CISS) Pub Date : 2022-11-02 DOI: 10.1109/CISS57580.2022.9971405
Guo Luo, Jianzhi Liu, Tong Yang, Yinghua Dou, Naiming Chen
{"title":"A Constant Current and Constant Voltage Charging Circuit through MPPT Method and Its Stability Analysis","authors":"Guo Luo, Jianzhi Liu, Tong Yang, Yinghua Dou, Naiming Chen","doi":"10.1109/CISS57580.2022.9971405","DOIUrl":"https://doi.org/10.1109/CISS57580.2022.9971405","url":null,"abstract":"In this paper, a constant current and constant voltage charging circuit through MPPT method, and its stability analysis is proposed. The input part is a solar cell array, the converter uses a super buck circuit, and the output is a battery pack, which constitutes an unregulated primary power bus system. Aiming at the dynamic characteristics of the solar cell output, small-signal modeling of the solar array is carried out. To convert the super buck into a more suitable output constant current source model and accomplish the design of the constant current and constant voltage circuit for the closed-loop control, the average space state method is used for modeling and the proposed circuit’s switching stability can be verified at the same time. The experimental results show that the system can accurately track the maximum power point of the solar cell array in MPPT mode, charge the battery pack with constant current or constant voltage control, and maximize energy utilization of SAR solar power system.","PeriodicalId":331510,"journal":{"name":"2022 3rd China International SAR Symposium (CISS)","volume":"65 12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126410041","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Design of a novel stacked Ku-band SSPA for SAR system 一种用于SAR系统的新型叠置ku波段SSPA设计
2022 3rd China International SAR Symposium (CISS) Pub Date : 2022-11-02 DOI: 10.1109/CISS57580.2022.9971156
Xiangyu Du, Ziqi Shao, Yong Lei, Yuan-Long Chen, Jun Wei, Ye Xie
{"title":"Design of a novel stacked Ku-band SSPA for SAR system","authors":"Xiangyu Du, Ziqi Shao, Yong Lei, Yuan-Long Chen, Jun Wei, Ye Xie","doi":"10.1109/CISS57580.2022.9971156","DOIUrl":"https://doi.org/10.1109/CISS57580.2022.9971156","url":null,"abstract":"A novel stacked Ku-band (13.7GHz) SSPA with 2 output channels was investigated. The SSPA was composed of a power unit, a remote control unit and 2 microwave amplifier units. The 2 microwave amplifier units work independently and are backups of another. The SSPA shows good electrical properties of output power 28.46dBm, wide bandwidth 50MHz, high power stability 0.2dB, gain flatness 0.1db and IM3 16.49dBc. The SSPA is assembled by 3 stacked layers, which can be replaced according to different demand parameters. The body dimensions and weight of the SSPA are 240mm × 142 mm × 58 mm and 2 kg, respectively. In this paper, the circuit design, structural layout, and properties test of the SSPA were introduced.","PeriodicalId":331510,"journal":{"name":"2022 3rd China International SAR Symposium (CISS)","volume":"38 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127850371","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Design of Inter-satellite Measurement System for Distributed SAR Application 分布式SAR卫星间测量系统设计
2022 3rd China International SAR Symposium (CISS) Pub Date : 2022-11-02 DOI: 10.1109/CISS57580.2022.9971337
Jiongyuan Zhou, Yu Tian, Yunchi Shi, C. Li, Yanpeng Wang
{"title":"Design of Inter-satellite Measurement System for Distributed SAR Application","authors":"Jiongyuan Zhou, Yu Tian, Yunchi Shi, C. Li, Yanpeng Wang","doi":"10.1109/CISS57580.2022.9971337","DOIUrl":"https://doi.org/10.1109/CISS57580.2022.9971337","url":null,"abstract":"Compared with the traditional single-star SAR(synthetic aperture radar) system, the dual-star SAR system has unique advantages in terms of interferometry, tomography, and high-resolution wide-format imaging due to its flexible configuration. When imaging using a dual-star SAR system, it is necessary to accurately obtain the relative position and time information of the two stars. Aiming at the problems of inter-satellite two-way ranging and time synchronization, the method of two-way time comparison is carried out by using the forwarding time of the satellite. Through the extraction of the baseband information, the analysis, calculation and framing of the test frame, the reception of ranging frame and the management of transmission, the proposed system can finish bidirectional ranging. Through innovative framing trigger design and pseudo-range selection design algorithm, the intersatellite measurement system is more suitable for the measurement environment of dual-satellite SAR. Corresponding testing and simulation results show that the proposed technique can substantially improve the accuracy of distributed SAR observation, which is more suitable for the inter-satellite measurement compared to the traditional satellite-to-ground measurement.","PeriodicalId":331510,"journal":{"name":"2022 3rd China International SAR Symposium (CISS)","volume":"50 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133625270","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Radar Sea Clutter Feature Classification Based on Machine Learning 基于机器学习的雷达海杂波特征分类
2022 3rd China International SAR Symposium (CISS) Pub Date : 2022-11-02 DOI: 10.1109/CISS57580.2022.9971328
Qihang Zhou, Hui Xu, Zhicheng Wang, Zhijun Zhang, Xian Zhang
{"title":"Radar Sea Clutter Feature Classification Based on Machine Learning","authors":"Qihang Zhou, Hui Xu, Zhicheng Wang, Zhijun Zhang, Xian Zhang","doi":"10.1109/CISS57580.2022.9971328","DOIUrl":"https://doi.org/10.1109/CISS57580.2022.9971328","url":null,"abstract":"The Marine environment is complex and changeable. The classification of sea clutter and target detection are the most important parts in the signal processing of sea detection radar. A large number of researches have been carried out at home and abroad to identify radar clutter by extracting different features. Machine learning is a common method. In this paper, SVM algorithm and DNN algorithm were respectively used to classify the short-range and medium-range clutter. By taking the measured sea clutter data as the training input, three power spectral features were extracted, which achieved high detection accuracy. Considering the training sample number, operation efficiency and detection accuracy, the application scope of the two machine learning methods is compared, and it is pointed out that the machine learning is of great significance for advancing the intelligent classification and identification of sea clutter.","PeriodicalId":331510,"journal":{"name":"2022 3rd China International SAR Symposium (CISS)","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131544928","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Amplitude and phase error estimation and compensation technology for spaceborne SAR 星载SAR幅相误差估计与补偿技术
2022 3rd China International SAR Symposium (CISS) Pub Date : 2022-11-02 DOI: 10.1109/CISS57580.2022.9971317
Shao Zelong, Qian Cheng, Ji Weiwei, Xu Xianwen, Li Chao, Ouyang Shangrong
{"title":"Amplitude and phase error estimation and compensation technology for spaceborne SAR","authors":"Shao Zelong, Qian Cheng, Ji Weiwei, Xu Xianwen, Li Chao, Ouyang Shangrong","doi":"10.1109/CISS57580.2022.9971317","DOIUrl":"https://doi.org/10.1109/CISS57580.2022.9971317","url":null,"abstract":"To solve problems such as target defocus, signal distortion caused by amplitude and phase error of the spaceborne wideband SAR system, the paper proposed a new method to estimate and compensate radar signal errors. Amplitude and phase error of the X-SAR system signal were analyzed in detail which include quadratic error,periodic error and random error. To acquire these errors, phase gradient algorithm was used to estimate signal’s phase error. In addition, computer simulation experiments were conducted in the paper to verify above signal error compensates method. Meanwhile, signal generated by the real X-SAR system were presented and corrected by the method proposed in the paper. Result prove that the signal error estimate and correction method were effective,could be an useful method for spaceborne SAR signal error analysis and error compensation.","PeriodicalId":331510,"journal":{"name":"2022 3rd China International SAR Symposium (CISS)","volume":"30 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128095999","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 1
Adaptive Optimization Method of Radar Search Resources Based on Genetic Algorithm 基于遗传算法的雷达搜索资源自适应优化方法
2022 3rd China International SAR Symposium (CISS) Pub Date : 2022-11-02 DOI: 10.1109/CISS57580.2022.9971335
Yachun Wan, Chaojun Sun, H. Fu, Biao Zhang, Wanhua Fan
{"title":"Adaptive Optimization Method of Radar Search Resources Based on Genetic Algorithm","authors":"Yachun Wan, Chaojun Sun, H. Fu, Biao Zhang, Wanhua Fan","doi":"10.1109/CISS57580.2022.9971335","DOIUrl":"https://doi.org/10.1109/CISS57580.2022.9971335","url":null,"abstract":"In the case of limited radar resources and multiple high-speed targets penetrating at the same time, in order to make the radar can focus more resources to search for high threat targets, an adaptive optimization method of radar search resources based on genetic algorithm is proposed. Considering the influence of crossover probability and mutation probability on the algorithm, the solving steps of genetic algorithm such as coding method and genetic operation are designed. The optimal allocation of search resources among the targets is analyzed under the fitness function of expected discovery distance, and the optimal allocation of search resources among targets is analyzed under the fitness functions of expected discovery distance and expected discovery time. The simulation results show that the adaptive optimization method of radar search resources based on genetic algorithm is superior to the traditional Equal Adjustment Strategy (EAS) method under the condition of limited search resources.","PeriodicalId":331510,"journal":{"name":"2022 3rd China International SAR Symposium (CISS)","volume":"109 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128332510","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
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