Pub Date : 1900-01-01DOI: 10.1109/ICEDIF.2015.7280230
Wei Bin, Wang Lei, Gao Xingjun, Hou Jingzhou, Gao Chao, Z. Yongqing
In this paper, in order to understand the fiber Bragg grating (FBG) sensor's temperature sensing properties with different coating materials and packaging materials at low temperature, and choose a FBG sensor for engineering application, an experimental platform is designed at first, the temperature sensing performance of five different type of FBG sensors at low temperature (77K-296K) is studied, and then the wavelength-temperature curve and temperature sensitive coefficient curve of these five FBG sensors is analyzed. At last, a nonlinear fitting for the best wavelength-temperature curve is made to provide a reference for practical application. It is concluded that polyimide-coated FBG sensor can be used normally at low temperature, and the temperature sensitive coefficient increases 4.32pm/K as reference to bare FBG, packaging has few effect on the sensor's performance of grating sensors. The OS4200 whose wavelength-temperature curve's cubic curve fitting is better than quadratic curve fitting has high accuracy and good stability, it can meet the requirement in practical engineering.
{"title":"Study on temperature sensing properties of different fiber Bragg grating at low temperature","authors":"Wei Bin, Wang Lei, Gao Xingjun, Hou Jingzhou, Gao Chao, Z. Yongqing","doi":"10.1109/ICEDIF.2015.7280230","DOIUrl":"https://doi.org/10.1109/ICEDIF.2015.7280230","url":null,"abstract":"In this paper, in order to understand the fiber Bragg grating (FBG) sensor's temperature sensing properties with different coating materials and packaging materials at low temperature, and choose a FBG sensor for engineering application, an experimental platform is designed at first, the temperature sensing performance of five different type of FBG sensors at low temperature (77K-296K) is studied, and then the wavelength-temperature curve and temperature sensitive coefficient curve of these five FBG sensors is analyzed. At last, a nonlinear fitting for the best wavelength-temperature curve is made to provide a reference for practical application. It is concluded that polyimide-coated FBG sensor can be used normally at low temperature, and the temperature sensitive coefficient increases 4.32pm/K as reference to bare FBG, packaging has few effect on the sensor's performance of grating sensors. The OS4200 whose wavelength-temperature curve's cubic curve fitting is better than quadratic curve fitting has high accuracy and good stability, it can meet the requirement in practical engineering.","PeriodicalId":355975,"journal":{"name":"2015 International Conference on Estimation, Detection and Information Fusion (ICEDIF)","volume":"16 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134035307","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}
Pub Date : 1900-01-01DOI: 10.1109/ICEDIF.2015.7280217
Ying-Ji Liu, Yu Yao, Xuewen Zhang, Bin Liu, Chen Ding
According to some reasons, such as multifarious, low efficiency status of scientific research management work by artificial way, furthermore, big workload and poor adaptability of requirement change exists in traditional software development method. In this paper, a typical model of scientific research project management process was build based on workflow technology. The business logic and specific function of project management were designed separately, so a unified and orderly management of scientific research project was realized, and flexibility and system adaptability were enhanced too. Rapid development platform technology was chosen in the business system development. This technology affords a develop mode of parameter customization and it could manage intelligence report, data maintenance, Model View Controller (MVC) service control and other parameters. Compared to the traditional programming development mode, a complex and high quality business system can be developed conveniently and fast.
{"title":"Design of research management system based on workflow and rapid development platform technology","authors":"Ying-Ji Liu, Yu Yao, Xuewen Zhang, Bin Liu, Chen Ding","doi":"10.1109/ICEDIF.2015.7280217","DOIUrl":"https://doi.org/10.1109/ICEDIF.2015.7280217","url":null,"abstract":"According to some reasons, such as multifarious, low efficiency status of scientific research management work by artificial way, furthermore, big workload and poor adaptability of requirement change exists in traditional software development method. In this paper, a typical model of scientific research project management process was build based on workflow technology. The business logic and specific function of project management were designed separately, so a unified and orderly management of scientific research project was realized, and flexibility and system adaptability were enhanced too. Rapid development platform technology was chosen in the business system development. This technology affords a develop mode of parameter customization and it could manage intelligence report, data maintenance, Model View Controller (MVC) service control and other parameters. Compared to the traditional programming development mode, a complex and high quality business system can be developed conveniently and fast.","PeriodicalId":355975,"journal":{"name":"2015 International Conference on Estimation, Detection and Information Fusion (ICEDIF)","volume":"126 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128038548","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}
Pub Date : 1900-01-01DOI: 10.1109/ICEDIF.2015.7280184
Shan Luo, G. Bi, Xiumei Li
In this paper, a new two-dimensional (2D) time-frequency distribution is introduced by extending the 1D Lv distribution (LVD). The 2D LVD inherits the desirable properties from the 1D LVD so that it has advantages of high signal energy concentration and trivial cross-terms since it is based on coherent integration. Important performances of signal energy concentration and computational complexity are analyzed and discussed.
{"title":"Performance of two-dimensional Lv distribution","authors":"Shan Luo, G. Bi, Xiumei Li","doi":"10.1109/ICEDIF.2015.7280184","DOIUrl":"https://doi.org/10.1109/ICEDIF.2015.7280184","url":null,"abstract":"In this paper, a new two-dimensional (2D) time-frequency distribution is introduced by extending the 1D Lv distribution (LVD). The 2D LVD inherits the desirable properties from the 1D LVD so that it has advantages of high signal energy concentration and trivial cross-terms since it is based on coherent integration. Important performances of signal energy concentration and computational complexity are analyzed and discussed.","PeriodicalId":355975,"journal":{"name":"2015 International Conference on Estimation, Detection and Information Fusion (ICEDIF)","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130309892","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}
Pub Date : 1900-01-01DOI: 10.1109/ICEDIF.2015.7280202
Sudan Han, C. Fan, Xiaotao Huang
This paper proposes a knowledge-aided shrinkage interference covariance matrix estimation approach in space time adaptive processing (STAP) which exploits the prior interference covariance matrix based on clutter model as the shrinkage target matrix. The oracle shrinkage coefficient under Gaussian assumption is derived and the estimated consistent shrinkage coefficient is also provided since the true interference covariance matrix in the oracle coefficient expression is usually unknown. With the comparison to the identity matrix and scaled identity matrix which are most commonly used as the shrinkage target matrix, the superiority of using prior knowledge is validated using simulated data. To evaluate the sensibility of the proposed method to the prior knowledge error, performance employing inaccurate knowledge is also considered in this paper. Simulation results show that the proposed method can significantly improve the STAP performance, even when the prior knowledge has some errors.
{"title":"Knowledge-aided shrinkage interference covariance matrix estimation in STAP","authors":"Sudan Han, C. Fan, Xiaotao Huang","doi":"10.1109/ICEDIF.2015.7280202","DOIUrl":"https://doi.org/10.1109/ICEDIF.2015.7280202","url":null,"abstract":"This paper proposes a knowledge-aided shrinkage interference covariance matrix estimation approach in space time adaptive processing (STAP) which exploits the prior interference covariance matrix based on clutter model as the shrinkage target matrix. The oracle shrinkage coefficient under Gaussian assumption is derived and the estimated consistent shrinkage coefficient is also provided since the true interference covariance matrix in the oracle coefficient expression is usually unknown. With the comparison to the identity matrix and scaled identity matrix which are most commonly used as the shrinkage target matrix, the superiority of using prior knowledge is validated using simulated data. To evaluate the sensibility of the proposed method to the prior knowledge error, performance employing inaccurate knowledge is also considered in this paper. Simulation results show that the proposed method can significantly improve the STAP performance, even when the prior knowledge has some errors.","PeriodicalId":355975,"journal":{"name":"2015 International Conference on Estimation, Detection and Information Fusion (ICEDIF)","volume":"21 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114929191","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}
Pub Date : 1900-01-01DOI: 10.1109/ICEDIF.2015.7280221
Lili Shao, Zhongbo Liu, Xiangyu Gao
This paper studies the optimal-fuel control problem of spacecraft rendezvous with collision avoidance constraint. A nonlinear spacecraft rendezvous model is established. Based on this model, an optimal control problem with state constraint is formulated. An exact penalty function method is used to transform the constrained optimal control problem into a sequence of approximate unconstrained optimization problems. Finally, it is shown that the solutions of these approximate unconstrained optimization problems converge to the solution of the original problem.
{"title":"Optimal-fuel control design of nonlinear spacecraft rendezvous system with the collision avoidance constraint","authors":"Lili Shao, Zhongbo Liu, Xiangyu Gao","doi":"10.1109/ICEDIF.2015.7280221","DOIUrl":"https://doi.org/10.1109/ICEDIF.2015.7280221","url":null,"abstract":"This paper studies the optimal-fuel control problem of spacecraft rendezvous with collision avoidance constraint. A nonlinear spacecraft rendezvous model is established. Based on this model, an optimal control problem with state constraint is formulated. An exact penalty function method is used to transform the constrained optimal control problem into a sequence of approximate unconstrained optimization problems. Finally, it is shown that the solutions of these approximate unconstrained optimization problems converge to the solution of the original problem.","PeriodicalId":355975,"journal":{"name":"2015 International Conference on Estimation, Detection and Information Fusion (ICEDIF)","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121889977","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}
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