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Study on the High Voltage and High Power Lithium ion Battery 高压大功率锂离子电池的研究
2022 3rd China International SAR Symposium (CISS) Pub Date : 2022-11-02 DOI: 10.1109/CISS57580.2022.9971336
Chaoxiang Xie, Liangmei Sheng, Hai Dai, Shi-meng Lv, Guorui Li
{"title":"Study on the High Voltage and High Power Lithium ion Battery","authors":"Chaoxiang Xie, Liangmei Sheng, Hai Dai, Shi-meng Lv, Guorui Li","doi":"10.1109/CISS57580.2022.9971336","DOIUrl":"https://doi.org/10.1109/CISS57580.2022.9971336","url":null,"abstract":"Li-ion battery has become the most widely used battery with the advantages of high energy density, good cycling performance and no memory effect. With the development of various equipment in the aspect of aerospace, high-voltage, high energy and power density lithium-ion battery has been studied at home and abroad, which was mainly used in unmanned aerial vehicles.In this paper, a battery system was assembled by 11 modules connected in series, and a module was combined in 2 parallels and 11 series by 22 cells, that was, the battery system was combined of 242 cells in 121 series and 2 parallels. In order to achieve isolated installation and series-parallel connection, a frame structure was used to encapsulate the cells in the modules. Finally, a battery system with a nominal voltage of 440V, an energy greater than 4kWh and a power greater than 90kW was completed, of which the specific energy reached to 140Wh/kg. And it can be discharged continuously at 20-25C. The working temperature range was -2 °C-55 °C. And the battery system showed good power performance and low-temperature performance. The related technology can be widely used in high-voltage and high-power energy storage devices, such as SAR energy supply.","PeriodicalId":331510,"journal":{"name":"2022 3rd China International SAR Symposium (CISS)","volume":"23 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":"132987561","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: 2
High Resolution SAR Tomography 3-D Imaging via Sparse Recovery Deep Learning Network 基于稀疏恢复深度学习网络的高分辨率SAR层析成像
2022 3rd China International SAR Symposium (CISS) Pub Date : 2022-11-02 DOI: 10.1109/CISS57580.2022.9971352
Rong Shen, Shunjun Wei, Zichen Zhou, Mou Wang
{"title":"High Resolution SAR Tomography 3-D Imaging via Sparse Recovery Deep Learning Network","authors":"Rong Shen, Shunjun Wei, Zichen Zhou, Mou Wang","doi":"10.1109/CISS57580.2022.9971352","DOIUrl":"https://doi.org/10.1109/CISS57580.2022.9971352","url":null,"abstract":"Tomographic synthetic aperture radar (TomoSAR) can achieve high-precision elevation inversion through interferometric phase, and realize three-dimensional (3-D) SAR imaging owing to the virtual elevation synthetic aperture formed by multi-pass. However, traditional high resolution imaging algorithms based on compressive sensing sparse recovery, need to set algorithm parameters and iterations artificially. Moreover, the set value has a great influence on the final imaging quality. In order to automatically adjust the parameters to the optimal state, we propose an efficient unfolded deep shrinkage-thresholding network (UDST-net) for TomoSAR 3-D imaging. The network can realize nonlinear sparse transformation and end-to-end learning through convolution layer, which improves the efficiency of imaging. The results of airborne experiments demonstrate that the UDST-net outperform some traditional CS-based algorithms.","PeriodicalId":331510,"journal":{"name":"2022 3rd China International SAR Symposium (CISS)","volume":"16 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":"132169053","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
Multi-source pulse coherent accumulation method for distributed aperture coherent radar 分布式孔径相干雷达的多源脉冲相干积累方法
2022 3rd China International SAR Symposium (CISS) Pub Date : 2022-11-02 DOI: 10.1109/CISS57580.2022.9971407
Hao Wei, Qin Kun, Liu Wenjia, Qin Yi
{"title":"Multi-source pulse coherent accumulation method for distributed aperture coherent radar","authors":"Hao Wei, Qin Kun, Liu Wenjia, Qin Yi","doi":"10.1109/CISS57580.2022.9971407","DOIUrl":"https://doi.org/10.1109/CISS57580.2022.9971407","url":null,"abstract":"Distributed coherent radar accomplishes target detection and tracking cooperatively through different units. The signal level coherent fusion of target echo requires high precision of coherent signal. The performance of coherent fusion is seriously affected by the time phase synchronization error between elements, the estimation error of coherent parameters, the range and Doppler migration caused by high maneuvering target and other factors. Aiming at the moving problem of high maneuvering target during coherent accumulation, the range and Doppler compensation are carried out by combining second-order keystone transform and dechirp. In the range compensation, the range migration of first-order term is compensated together by velocity ambiguity resolution after second-order transform, avoiding more velocity searches. In the Doppler compensation, cyclic autocorrelation function is used to reduce the computation amount of searching acceleration. Then the three dimensional target information of range, velocity and acceleration can be obtained and the target detection can be realized. Finally, the algorithm is verified by simulation.","PeriodicalId":331510,"journal":{"name":"2022 3rd China International SAR Symposium (CISS)","volume":"80 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":"132593664","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
ISAGAN: A High-Fidelity Full-Azimuth SAR Image Generation Method ISAGAN:一种高保真全方位SAR图像生成方法
2022 3rd China International SAR Symposium (CISS) Pub Date : 2022-11-02 DOI: 10.1109/CISS57580.2022.9971215
Xin Shi, M. Xing, Jinsong Zhang, Guangcai Sun
{"title":"ISAGAN: A High-Fidelity Full-Azimuth SAR Image Generation Method","authors":"Xin Shi, M. Xing, Jinsong Zhang, Guangcai Sun","doi":"10.1109/CISS57580.2022.9971215","DOIUrl":"https://doi.org/10.1109/CISS57580.2022.9971215","url":null,"abstract":"The amount of data is often insufficient in the research of intelligent interpretation of synthetic aperture radar (SAR) images. Recent researches show that generative adversarial network (GAN) has achieved excellent results in data augmentation, so it is commonly used to solve the few samples problem. However, GAN is mainly used to generate optical images instead of SAR images, and its training process is unstable. To address these issues, the improved self-attention GAN (ISAGAN) is proposed to generate high-fidelity full-azimuth SAR images. First, simplified self-attention GAN is proposed for high-quality SAR image generation. Second, the azimuth and class of the SAR image are added to the network, enabling the network to generate SAR images with arbitrary azimuth and class. Last, instance noise is added to the training process, which improves the training stability of the network. The MSTAR dataset is used to verify the effectiveness of the proposed SAR image generation method. The experiment results confirm that the ISAGAN can generate high-quality multi-class full-azimuth SAR images.","PeriodicalId":331510,"journal":{"name":"2022 3rd China International SAR Symposium (CISS)","volume":"11 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":"115212200","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
A fast Lee filter algorithm based on Fourier transform 基于傅里叶变换的快速李滤波算法
2022 3rd China International SAR Symposium (CISS) Pub Date : 2022-11-02 DOI: 10.1109/CISS57580.2022.9971296
Chenxi Wang, Guangcai Sun, Min Xue, M. Xing
{"title":"A fast Lee filter algorithm based on Fourier transform","authors":"Chenxi Wang, Guangcai Sun, Min Xue, M. Xing","doi":"10.1109/CISS57580.2022.9971296","DOIUrl":"https://doi.org/10.1109/CISS57580.2022.9971296","url":null,"abstract":"A fast Lee filter algorithm based on Fourier transform is proposed. The algorithm uses an optimized noise variance estimation method to achieve accurate estimation of SAR image noise variance. The convolution model realizes the calculation of the mean value and variance of the noise in the filter window, so as to realize the fast calculation of the Lee filter. The filtering algorithm has low complexity and high computational efficiency, and can realize real-time filtering processing of SAR images. Simulation experiments have verified the effectiveness and real-time performance of this method.","PeriodicalId":331510,"journal":{"name":"2022 3rd China International SAR Symposium (CISS)","volume":"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":"114930926","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
High precision star point displacement estimation 高精度星点位移估计
2022 3rd China International SAR Symposium (CISS) Pub Date : 2022-11-02 DOI: 10.1109/CISS57580.2022.9971307
Fei Hung, Zongming Liu, Tianqi Li, Yu Zhang, Guicun Li, Shuogong Zhang
{"title":"High precision star point displacement estimation","authors":"Fei Hung, Zongming Liu, Tianqi Li, Yu Zhang, Guicun Li, Shuogong Zhang","doi":"10.1109/CISS57580.2022.9971307","DOIUrl":"https://doi.org/10.1109/CISS57580.2022.9971307","url":null,"abstract":"In order to achieve high-precision positioning measurement of InSAR satellite, we proposed to use InSAR satellites to capture multiple star point images and obtain high-precision centroid displacement and angular distance of star point to achieve high-precision baseline measurement, so as to improve positioning measurement accuracy. By studying the effect of image detector pixel position deviation on the accuracy of the centroid displacement measurement of the star point, we proposed a pixel position deviation calibration method based on heterodyne laser interference. Due to the inhomogeneity of the pixel-to-pixel response, we constructed an image sensor simulation model with pixel deviations. Image sensor pixel calibration results showed that with the mean value of 0 and the standard deviation of 0.01, the image sensor pixel calibration accuracy was better than $7 times 10^{{-5}}$ pixel. The research results were of great significance for improving the measurement accuracy of the centroid displacement of star point and improving the high-precision positioning measurement of InSAR satellites.","PeriodicalId":331510,"journal":{"name":"2022 3rd China International SAR Symposium (CISS)","volume":"99 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":"117327699","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
Imaging Method of Spaceborne TOPS SAR Based on ECS and SPECAN 基于ECS和SPECAN的星载TOPS SAR成像方法
2022 3rd China International SAR Symposium (CISS) Pub Date : 2022-11-02 DOI: 10.1109/CISS57580.2022.9971288
Jiazheng Sun, Hui Wang, Shichao Zheng, Zhaoyang Zeng, Xiang Chen, Sili Wu
{"title":"Imaging Method of Spaceborne TOPS SAR Based on ECS and SPECAN","authors":"Jiazheng Sun, Hui Wang, Shichao Zheng, Zhaoyang Zeng, Xiang Chen, Sili Wu","doi":"10.1109/CISS57580.2022.9971288","DOIUrl":"https://doi.org/10.1109/CISS57580.2022.9971288","url":null,"abstract":"The terrain observation by progressive scans SAR (TOPS SAR) is a new working mode of spaceborne SAR. While maintaining the advantages of SCANSAR's wide mapping band, this working mode solves the scalloping effect and other problems. Aiming at the problem of azimuth spectrum aliasing of spaceborne TOPS SAR echo signals, this paper proposes a spaceborne TOPS SAR full aperture imaging algorithm based on ECs and SPECAN. First, the echo after range walk correction is SPECAN operated to obtain a two-dimensional spectrum without blur, and then the improved ECS algorithm is used for range migration correction and range pulse compression, Finally, azimuth defocusing and scaled Fourier transform (SCFT) are used to realize azimuth focusing. Simulation results show the effectiveness of the algorithm.","PeriodicalId":331510,"journal":{"name":"2022 3rd China International SAR Symposium (CISS)","volume":"16 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":"116162513","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 Design Method of DSM Swath and Next Overlap Based on Distributed InSAR Satellites 基于分布式InSAR卫星的DSM条与下一重叠设计方法
2022 3rd China International SAR Symposium (CISS) Pub Date : 2022-11-02 DOI: 10.1109/CISS57580.2022.9971161
Xizhi Chen, Hongxiang Zhang, Di Zhao, Yusheng Hou, Nan Li, Junli Chen
{"title":"A Design Method of DSM Swath and Next Overlap Based on Distributed InSAR Satellites","authors":"Xizhi Chen, Hongxiang Zhang, Di Zhao, Yusheng Hou, Nan Li, Junli Chen","doi":"10.1109/CISS57580.2022.9971161","DOIUrl":"https://doi.org/10.1109/CISS57580.2022.9971161","url":null,"abstract":"This paper presents a design method of DSM (Digital Surface Mode) swath and next overlap based on distributed InSAR (Interferometric Synthetic Aperture Radar) satellites. Firstly, the design principle of the single spaceborne SAR swath is explained. On this basis, a design method of DSM Swath and Next Overlap for distributed InSAR satellites is expounded, and it is compared with the traditional design method. By the TanDEM-X system design parameters, the simulation analysis is carried out. The results prove the advantage of the method of this paper compared to the traditional design method. By the method of this paper, the performance of DSM Swath and Next Overlap can be promoted obviously, and more design margin of the satellite will be obtained, and the use efficiency of distributed InSAR satellites is improved as well.","PeriodicalId":331510,"journal":{"name":"2022 3rd China International SAR Symposium (CISS)","volume":"39 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":"116373727","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
Analysis of the Influence of SAR Speed Error on Doppler Parameters SAR航速误差对多普勒参数的影响分析
2022 3rd China International SAR Symposium (CISS) Pub Date : 2022-11-02 DOI: 10.1109/CISS57580.2022.9971166
Yue Ding, Zhirong Men, Wei Yang
{"title":"Analysis of the Influence of SAR Speed Error on Doppler Parameters","authors":"Yue Ding, Zhirong Men, Wei Yang","doi":"10.1109/CISS57580.2022.9971166","DOIUrl":"https://doi.org/10.1109/CISS57580.2022.9971166","url":null,"abstract":"Analysis of speed error is very important to the overall design of Synthetic Aperture Radar (SAR) systems. However, due to the uncertainty of speed error, it cannot be calculated accurately. In this paper, a new probability model for the analysis of the influence of speed error on Doppler parameters is proposed. Firstly, in order to estimate the speed error, a probability model with a normal distribution is first constructed. Then a system is proposed to calculate Doppler parameters. The input of the system is the speed error and the output of the system is the error of Doppler parameters. The response of the system is the relationship between the speed parameter and Doppler parameters. Based on the numerical simulation and analysis, the probability distribution model for the error of Doppler parameters is obtained by analyzing its numerical characteristics with its calculation results.","PeriodicalId":331510,"journal":{"name":"2022 3rd China International SAR Symposium (CISS)","volume":"35 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":"128624730","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 Heterogeneous Image Fusion Method Based on Multi-directional Gradient Filtering 一种基于多向梯度滤波的异构图像融合方法
2022 3rd China International SAR Symposium (CISS) Pub Date : 2022-11-02 DOI: 10.1109/CISS57580.2022.9971431
Zhilong Ren, K. Du, Chenghu Mou, Yi Liang
{"title":"A Heterogeneous Image Fusion Method Based on Multi-directional Gradient Filtering","authors":"Zhilong Ren, K. Du, Chenghu Mou, Yi Liang","doi":"10.1109/CISS57580.2022.9971431","DOIUrl":"https://doi.org/10.1109/CISS57580.2022.9971431","url":null,"abstract":"Aiming at the problems of missing features, blurred edges, susceptible to noise interference and unsmooth grayscale transition in traditional heterogeneous image fusion methods, a fusion method of heterogeneous images based on multi-directional gradient filtering is proposed. The method uses the multi-scale of Laplacian pyramid and the multidirection of gradient filtering to extract the details of the source image to prevent the grayscale transition from being unsmooth; an adaptive fuzzy coupling mechanism is introduced to solve the problem that the source image features are easily missing; The gradient saliency mapping strategy avoids edge blurring and noise interference. The experimental results show that the method can achieve effective fusion of heterogeneous images.","PeriodicalId":331510,"journal":{"name":"2022 3rd China International SAR Symposium (CISS)","volume":"10 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":"128627264","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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