Pub Date : 2017-11-01DOI: 10.1109/ISPACS.2017.8266600
Chunmei Xu, Yang Li, Chao Ji, Yongming Huang, Haiming Wang, Yili Xia
The constant false alarm rate (CFAR) technique plays a key role in radar automatic detection process. The cell averaging (CA) CFAR procedure suffers from the masking effect in almost all the multitarget situations. The smallest of cell averaging (SOCA) CFAR has a better performance only when the interfering targets are present in the front or the rear reference window. The ordered statistic (OS) CFAR is rather robust in multitarget situation but at a cost of high computation complexity. However, when a large target continuously occupies several spectral cells, either SOCA-CFAR or OS-CFAR cannot avoid the masking effects. Therefore, an improved CFAR algorithm based on SOCA-CFAR is proposed to tackle these problems. The simulations reveal that the improved CFAR algorithm can alleviate the masking effects at a low computation complexity. A two-dimensional (2D) extension of the proposed CFAR algorithm is also applied for range-doppler-matrix (RDM) and simulation results demonstrate its performance advantages.
{"title":"An improved CFAR algorithm for target detection","authors":"Chunmei Xu, Yang Li, Chao Ji, Yongming Huang, Haiming Wang, Yili Xia","doi":"10.1109/ISPACS.2017.8266600","DOIUrl":"https://doi.org/10.1109/ISPACS.2017.8266600","url":null,"abstract":"The constant false alarm rate (CFAR) technique plays a key role in radar automatic detection process. The cell averaging (CA) CFAR procedure suffers from the masking effect in almost all the multitarget situations. The smallest of cell averaging (SOCA) CFAR has a better performance only when the interfering targets are present in the front or the rear reference window. The ordered statistic (OS) CFAR is rather robust in multitarget situation but at a cost of high computation complexity. However, when a large target continuously occupies several spectral cells, either SOCA-CFAR or OS-CFAR cannot avoid the masking effects. Therefore, an improved CFAR algorithm based on SOCA-CFAR is proposed to tackle these problems. The simulations reveal that the improved CFAR algorithm can alleviate the masking effects at a low computation complexity. A two-dimensional (2D) extension of the proposed CFAR algorithm is also applied for range-doppler-matrix (RDM) and simulation results demonstrate its performance advantages.","PeriodicalId":166414,"journal":{"name":"2017 International Symposium on Intelligent Signal Processing and Communication Systems (ISPACS)","volume":"12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124740613","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 : 2017-11-01DOI: 10.1109/ISPACS.2017.8266471
Chunmei Nian, J. Chen, H. Zeng, C. Cai
As the coding standard for multi-view video plus depth format, 3D-High Efficiency Video Coding (3D-HEVC) can achieve superior coding efficiency while with high complexity. Because of the large areas with nearly constant values and sharp edges, the coding process for depth map can be optimized. A fast intra depth map algorithm based on sum-of-gradient and segment-wise direct component coding (FID-SOG-SDC) for 3D-HEVC is proposed in this paper. The sum of gradient information of each coding unit (CU) can be utilized to predict the intra prediction mode, decide CTU partition size and skip the SDC decision when CU belongs to a smooth region. Experimental results show that the proposed FID-SOG-SDC algorithm can achieve encoding time reduction by 23.07% with an impact of 0.06% in the rate-distortion(RD) performance compared to the original 3D-HEVC.
3D-HEVC (3D-High - Efficiency video coding, 3D-HEVC)作为多视点视频加深度格式的编码标准，可以在具有较高复杂度的同时实现较高的编码效率。由于深度图的面积大，几乎是恒定的值，边缘锐利，因此可以优化深度图的编码过程。提出了一种基于梯度和分段直接分量编码(FID-SOG-SDC)的3D-HEVC快速图像深度图算法。每个编码单元(CU)的梯度信息之和可以用来预测内预测模式，确定CTU分区大小，当CU属于光滑区域时，可以跳过SDC决策。实验结果表明，与原来的3D-HEVC相比，本文提出的FID-SOG-SDC算法可以实现23.07%的编码时间减少和0.06%的率失真(RD)性能的影响。
{"title":"A fast intra depth map algorithm based on sum-of-gradient and segment-wise direct component coding","authors":"Chunmei Nian, J. Chen, H. Zeng, C. Cai","doi":"10.1109/ISPACS.2017.8266471","DOIUrl":"https://doi.org/10.1109/ISPACS.2017.8266471","url":null,"abstract":"As the coding standard for multi-view video plus depth format, 3D-High Efficiency Video Coding (3D-HEVC) can achieve superior coding efficiency while with high complexity. Because of the large areas with nearly constant values and sharp edges, the coding process for depth map can be optimized. A fast intra depth map algorithm based on sum-of-gradient and segment-wise direct component coding (FID-SOG-SDC) for 3D-HEVC is proposed in this paper. The sum of gradient information of each coding unit (CU) can be utilized to predict the intra prediction mode, decide CTU partition size and skip the SDC decision when CU belongs to a smooth region. Experimental results show that the proposed FID-SOG-SDC algorithm can achieve encoding time reduction by 23.07% with an impact of 0.06% in the rate-distortion(RD) performance compared to the original 3D-HEVC.","PeriodicalId":166414,"journal":{"name":"2017 International Symposium on Intelligent Signal Processing and Communication Systems (ISPACS)","volume":"34 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121874706","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 : 2017-11-01DOI: 10.1109/ISPACS.2017.8266464
Jinhui Hou, H. Zeng, Lei Cai, Jianqing Zhu, Jiuwen Cao, Junhui Hou
Handwritten numeral recognition is a challenging problem due to large variation in the writing styles of different persons and high similarity in the contour of different digits. Based on the observation that the decision of scratchy/non-scratchy in the writing style could play a complementary role on the classification of handwritten numeral. In this paper, an effective multi-task learning network for handwritten numeral recognition is proposed to enhance the recognition performance. The proposed multi-task learning network consists of two tasks, which can simultaneously learn handwritten numeral recognition and the scratchy/non-scratchy decision. Furthermore, the two tasks can promote each other during training and achieve a better recognition performance. Extensive experiments on the MNIST database demonstrate that the proposed multi-task network can effectively improve the recognition accuracy and achieve a superior performance of 0.40% error rate, which outperforms most methods that take experiments on the M-NIST database.
{"title":"Handwritten numeral recognition using multi-task learning","authors":"Jinhui Hou, H. Zeng, Lei Cai, Jianqing Zhu, Jiuwen Cao, Junhui Hou","doi":"10.1109/ISPACS.2017.8266464","DOIUrl":"https://doi.org/10.1109/ISPACS.2017.8266464","url":null,"abstract":"Handwritten numeral recognition is a challenging problem due to large variation in the writing styles of different persons and high similarity in the contour of different digits. Based on the observation that the decision of scratchy/non-scratchy in the writing style could play a complementary role on the classification of handwritten numeral. In this paper, an effective multi-task learning network for handwritten numeral recognition is proposed to enhance the recognition performance. The proposed multi-task learning network consists of two tasks, which can simultaneously learn handwritten numeral recognition and the scratchy/non-scratchy decision. Furthermore, the two tasks can promote each other during training and achieve a better recognition performance. Extensive experiments on the MNIST database demonstrate that the proposed multi-task network can effectively improve the recognition accuracy and achieve a superior performance of 0.40% error rate, which outperforms most methods that take experiments on the M-NIST database.","PeriodicalId":166414,"journal":{"name":"2017 International Symposium on Intelligent Signal Processing and Communication Systems (ISPACS)","volume":"149 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122191457","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 : 2017-11-01DOI: 10.1109/ISPACS.2017.8266485
Juping Liang, Yifan Zhang, Shaohui Mei
Hyperpsectral image (HSI) provides abundant and detailed spectral information with limited spatial resolution. When a multispectral image (MSI) with higher spatial resolution of the same observed scene is available, this limitation on spatial resolution can be handled by applying fusion techniques. In this work, a novel HSI and MSI fusion approach using dictionary-based reconstruction is proposed. To incorporate more effective information for fusion, dual-source dictionary pair including a dictionary on low spatial resolution and a dictionary on high spatial resolution, is constructed using both HSI and MSI. Furthermore, to reduce the calculation cost, a localized strategy is applied instead of the global one. Finally, the fused result is reconstructed with dictionary using collaborative representation. Simulative experiments illustrate its outperformance over some state-of-the-art HSI and MSI fusion approaches.
{"title":"Hyperspectral and multispectral image fusion using dual-source localized dictionary pair","authors":"Juping Liang, Yifan Zhang, Shaohui Mei","doi":"10.1109/ISPACS.2017.8266485","DOIUrl":"https://doi.org/10.1109/ISPACS.2017.8266485","url":null,"abstract":"Hyperpsectral image (HSI) provides abundant and detailed spectral information with limited spatial resolution. When a multispectral image (MSI) with higher spatial resolution of the same observed scene is available, this limitation on spatial resolution can be handled by applying fusion techniques. In this work, a novel HSI and MSI fusion approach using dictionary-based reconstruction is proposed. To incorporate more effective information for fusion, dual-source dictionary pair including a dictionary on low spatial resolution and a dictionary on high spatial resolution, is constructed using both HSI and MSI. Furthermore, to reduce the calculation cost, a localized strategy is applied instead of the global one. Finally, the fused result is reconstructed with dictionary using collaborative representation. Simulative experiments illustrate its outperformance over some state-of-the-art HSI and MSI fusion approaches.","PeriodicalId":166414,"journal":{"name":"2017 International Symposium on Intelligent Signal Processing and Communication Systems (ISPACS)","volume":"66 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116610242","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 : 2017-11-01DOI: 10.1109/ISPACS.2017.8266474
R. Xu, Jianzhong Wang, Tianlei Wang, Jiuwen Cao, H. Zeng
In this paper, we propose an intelligent network surveillance system to protect the urban underground pipelines from external damages caused by excavation devices. At each monitoring site, a microphone array is implemented for real-time acoustic collection and an intelligent excavation device recognition algorithm is embedded. A surveillance platform built on the fusion of multi monitoring sites is designed for a whole city. A novel statistical feature extraction method is first developed to mining the useful and representative information for the collected acoustic signals. Then, an artificial neural network trained by the popular extreme learning machine (ELM) and the regularized ELM (RELM) is used to perform the recognition of excavation devices in each monitoring site. To show the efficiency of the proposed system, experiments are conducted in this paper. Recognition performance on four most destructive devices is studied.
{"title":"A novel excavation device recognition based underground network surveilliance system","authors":"R. Xu, Jianzhong Wang, Tianlei Wang, Jiuwen Cao, H. Zeng","doi":"10.1109/ISPACS.2017.8266474","DOIUrl":"https://doi.org/10.1109/ISPACS.2017.8266474","url":null,"abstract":"In this paper, we propose an intelligent network surveillance system to protect the urban underground pipelines from external damages caused by excavation devices. At each monitoring site, a microphone array is implemented for real-time acoustic collection and an intelligent excavation device recognition algorithm is embedded. A surveillance platform built on the fusion of multi monitoring sites is designed for a whole city. A novel statistical feature extraction method is first developed to mining the useful and representative information for the collected acoustic signals. Then, an artificial neural network trained by the popular extreme learning machine (ELM) and the regularized ELM (RELM) is used to perform the recognition of excavation devices in each monitoring site. To show the efficiency of the proposed system, experiments are conducted in this paper. Recognition performance on four most destructive devices is studied.","PeriodicalId":166414,"journal":{"name":"2017 International Symposium on Intelligent Signal Processing and Communication Systems (ISPACS)","volume":"14 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117071683","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 : 2017-11-01DOI: 10.1109/ISPACS.2017.8266546
Shao-En Yen, K. Tang
Electroencephalogram (EEG) based on brain computer interfaces (BCIs) provides new channels between human brain and the outside world. An EEG feature, event-related desynchronization/synchronization (ERD/S) caused by motor imagery (MI), is broadly used to analyze the brain activity and estimate human motor intention. In this research, our purpose is to extract the features based on ERD/S, and determine left/right (L/R) hand side movements through Support Vector Machine (SVM). In the past, raising the accuracy of MI classification is always the main objective of research teams. Hence, we propose a novel method to extract features providing better classification accuracy. After feature extraction, linear discriminant analysis (LDA) was used to perform dimension reduction. Results came from the classification of SVM (RBF kernel) with leaveone-out cross-validation (LOOCV). Approximately 97.62% classification accuracy is achieved to determine L/R hand movements.
{"title":"Extraction of EEG signals during L/R hand motor imagery based on ERD/S","authors":"Shao-En Yen, K. Tang","doi":"10.1109/ISPACS.2017.8266546","DOIUrl":"https://doi.org/10.1109/ISPACS.2017.8266546","url":null,"abstract":"Electroencephalogram (EEG) based on brain computer interfaces (BCIs) provides new channels between human brain and the outside world. An EEG feature, event-related desynchronization/synchronization (ERD/S) caused by motor imagery (MI), is broadly used to analyze the brain activity and estimate human motor intention. In this research, our purpose is to extract the features based on ERD/S, and determine left/right (L/R) hand side movements through Support Vector Machine (SVM). In the past, raising the accuracy of MI classification is always the main objective of research teams. Hence, we propose a novel method to extract features providing better classification accuracy. After feature extraction, linear discriminant analysis (LDA) was used to perform dimension reduction. Results came from the classification of SVM (RBF kernel) with leaveone-out cross-validation (LOOCV). Approximately 97.62% classification accuracy is achieved to determine L/R hand movements.","PeriodicalId":166414,"journal":{"name":"2017 International Symposium on Intelligent Signal Processing and Communication Systems (ISPACS)","volume":"20 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129852964","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 : 2017-11-01DOI: 10.1109/ISPACS.2017.8266534
Ming Lu, Li Chen, Jing Tian
Network structure image, such as retinal blood vessels, has many important applications in medicine, biometric identification and other fields. The traditional image segmentation methods for network structure images usually face the challenge that the region of interest (ROI) is broken. To tackle this challenge, this paper presents a mechanism of random walk walker movement based on the central gravity of ROI. The proposed approach exploits the gravity of the seed point in the walker's visual field, and the continuity of the ant movement path, to segment the network structure region without broken. Experimental results are presented to show the superior performance of the proposed approach against the conventional image segmentation approaches.
{"title":"Inertial graphic gravitational random walk for network structure image segmentation","authors":"Ming Lu, Li Chen, Jing Tian","doi":"10.1109/ISPACS.2017.8266534","DOIUrl":"https://doi.org/10.1109/ISPACS.2017.8266534","url":null,"abstract":"Network structure image, such as retinal blood vessels, has many important applications in medicine, biometric identification and other fields. The traditional image segmentation methods for network structure images usually face the challenge that the region of interest (ROI) is broken. To tackle this challenge, this paper presents a mechanism of random walk walker movement based on the central gravity of ROI. The proposed approach exploits the gravity of the seed point in the walker's visual field, and the continuity of the ant movement path, to segment the network structure region without broken. Experimental results are presented to show the superior performance of the proposed approach against the conventional image segmentation approaches.","PeriodicalId":166414,"journal":{"name":"2017 International Symposium on Intelligent Signal Processing and Communication Systems (ISPACS)","volume":"50 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129681605","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 : 2017-11-01DOI: 10.1109/ISPACS.2017.8266598
Yi Wang, Yuhan Wang, Songwei Zhang, Pengge Ma, Shaochuan Yang, Baofeng Ji, Kang Song, Chunguo Li
This paper investigates the joint power allocation problem for a three-node massive MIMO relaying system with maximum ratio combining/maximum ratio transmission (MRC/MRT) precoding strategy. Our goal is to pursuit the energy efficiency (EE) maximization while taking a quality-of-service (QoS) requirement into account by optimizing the source-relay transmit power simultaneously. To handle the EE based problem, we first derive a closed-form expression of the involved spectral efficiency (SE) by leveraging the tools of determinate equivalent approximation technique. Then, the optimal power solutions at the source and the relay are deduced in analytical forms by exploring the Lagrangian dual technology and the Lambert W function. What's more, one can find that the optimal power values at the relay and the source satisfy a specific ratio, which is determined by the system parameters and the large-scale fading factors of the two-hop channels. Numerical results illustrate the performance advantages of our developed power allocation method.
{"title":"Closed-form energy efficient joint power allocation for dual-hop massive MIMO relaying systems","authors":"Yi Wang, Yuhan Wang, Songwei Zhang, Pengge Ma, Shaochuan Yang, Baofeng Ji, Kang Song, Chunguo Li","doi":"10.1109/ISPACS.2017.8266598","DOIUrl":"https://doi.org/10.1109/ISPACS.2017.8266598","url":null,"abstract":"This paper investigates the joint power allocation problem for a three-node massive MIMO relaying system with maximum ratio combining/maximum ratio transmission (MRC/MRT) precoding strategy. Our goal is to pursuit the energy efficiency (EE) maximization while taking a quality-of-service (QoS) requirement into account by optimizing the source-relay transmit power simultaneously. To handle the EE based problem, we first derive a closed-form expression of the involved spectral efficiency (SE) by leveraging the tools of determinate equivalent approximation technique. Then, the optimal power solutions at the source and the relay are deduced in analytical forms by exploring the Lagrangian dual technology and the Lambert W function. What's more, one can find that the optimal power values at the relay and the source satisfy a specific ratio, which is determined by the system parameters and the large-scale fading factors of the two-hop channels. Numerical results illustrate the performance advantages of our developed power allocation method.","PeriodicalId":166414,"journal":{"name":"2017 International Symposium on Intelligent Signal Processing and Communication Systems (ISPACS)","volume":"2012 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130519609","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 : 2017-11-01DOI: 10.1109/ISPACS.2017.8266585
Heng Zhang, Xin Jin, Qionghai Dai
In this paper, a synthetic aperture imaging algorithm is proposed to see the object behind occlusion based on plenoptic cameras. Depth estimated from the plenoptic image is used to filter out feature points on occlusions. Two handshake principal is proposed to pair feature points from central sub-aperture image with those from other sub-aperture images. Homography transformations are derived among the sub-aperture images to project other sub-aperture images to the central one. By averaging the images after projection, a synthetic aperture image is generated to smear out the occlusions. Comparing with existing works, the proposed algorithm provides synthetic aperture image with higher sharpness and clearer de-occlusion effect.
{"title":"Synthetic aperture based on plenoptic cameras for seeing behind occlusion","authors":"Heng Zhang, Xin Jin, Qionghai Dai","doi":"10.1109/ISPACS.2017.8266585","DOIUrl":"https://doi.org/10.1109/ISPACS.2017.8266585","url":null,"abstract":"In this paper, a synthetic aperture imaging algorithm is proposed to see the object behind occlusion based on plenoptic cameras. Depth estimated from the plenoptic image is used to filter out feature points on occlusions. Two handshake principal is proposed to pair feature points from central sub-aperture image with those from other sub-aperture images. Homography transformations are derived among the sub-aperture images to project other sub-aperture images to the central one. By averaging the images after projection, a synthetic aperture image is generated to smear out the occlusions. Comparing with existing works, the proposed algorithm provides synthetic aperture image with higher sharpness and clearer de-occlusion effect.","PeriodicalId":166414,"journal":{"name":"2017 International Symposium on Intelligent Signal Processing and Communication Systems (ISPACS)","volume":"26 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123823931","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}
Mingantu Spectral Radioheliograph (MUSER) is a key instrument supported by the Chinese National Major Scientific Equipment R&D Project. It is a new generation solar-dedicated telescope and will play an important role in solar physics, space weather prediction, and even space missions. MUSER is a solar-dedicated radio interferometric array with 100 parabolic antennas. It is very complex to calibrate the whole system, including amplitude- and phase-calibration. Among them, the phase closure is one of the special important procedures of the whole system. In this paper, we proposed a new method to measure the phase closure, ensure the veracity of the correlation function and test the stability of the whole system of MUSER. We adopted the Geostationary Communications Satellite to be the calibration sources, fixed the antenna's point with the same parameter of delay compensation. We calculated position correction of the satellite spherical coordinates. Then the phase variation can be measured precisely. The calculating processes of cross-correlation is among different 3-baseline. The phase closure is better than 3 degrees. These results meet the requirements of the phase calibration of MUSER.
{"title":"The study of phase closer of Mingantu Spectral Radioheliograph","authors":"Donghao Liu, Yihua Yan, Wei Wang, Fei Liu, Linjie Chen, Xu Long","doi":"10.1109/ISPACS.2017.8266449","DOIUrl":"https://doi.org/10.1109/ISPACS.2017.8266449","url":null,"abstract":"Mingantu Spectral Radioheliograph (MUSER) is a key instrument supported by the Chinese National Major Scientific Equipment R&D Project. It is a new generation solar-dedicated telescope and will play an important role in solar physics, space weather prediction, and even space missions. MUSER is a solar-dedicated radio interferometric array with 100 parabolic antennas. It is very complex to calibrate the whole system, including amplitude- and phase-calibration. Among them, the phase closure is one of the special important procedures of the whole system. In this paper, we proposed a new method to measure the phase closure, ensure the veracity of the correlation function and test the stability of the whole system of MUSER. We adopted the Geostationary Communications Satellite to be the calibration sources, fixed the antenna's point with the same parameter of delay compensation. We calculated position correction of the satellite spherical coordinates. Then the phase variation can be measured precisely. The calculating processes of cross-correlation is among different 3-baseline. The phase closure is better than 3 degrees. These results meet the requirements of the phase calibration of MUSER.","PeriodicalId":166414,"journal":{"name":"2017 International Symposium on Intelligent Signal Processing and Communication Systems (ISPACS)","volume":"26 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114745676","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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