Pub Date : 2015-10-01DOI: 10.1109/ICEDIF.2015.7280220
Jurong Bai, Zhe Hao, Huimin Du, Yanben Wang
Affected by the path loss, Doppler frequency shift and the inter cell interferences and other factors, cell edge users were scheduled with less carriers, and had poor receiving effects. In order to improve the transmission capacity of cell edge users, we proposed a resource reserved Proportional Fair resource allocation algorithm with power allocation for the LTE-Advanced system. The users were grouped as edge-cell users and center-cell users. During each resource allocation period, a certain number of CCs and RBs were reserved only for the edge-cell users, and these frequency resources were transmitted with higher power. Proportional Fair were applied for both edge-cell and center-cell users. Simulation results showed that this algorithm could achieve high system capacity with low CPU time, as well as improve the transmission capacity of cell edge users.
{"title":"A resource reserved PF algorithm for LTE-A with power allocation","authors":"Jurong Bai, Zhe Hao, Huimin Du, Yanben Wang","doi":"10.1109/ICEDIF.2015.7280220","DOIUrl":"https://doi.org/10.1109/ICEDIF.2015.7280220","url":null,"abstract":"Affected by the path loss, Doppler frequency shift and the inter cell interferences and other factors, cell edge users were scheduled with less carriers, and had poor receiving effects. In order to improve the transmission capacity of cell edge users, we proposed a resource reserved Proportional Fair resource allocation algorithm with power allocation for the LTE-Advanced system. The users were grouped as edge-cell users and center-cell users. During each resource allocation period, a certain number of CCs and RBs were reserved only for the edge-cell users, and these frequency resources were transmitted with higher power. Proportional Fair were applied for both edge-cell and center-cell users. Simulation results showed that this algorithm could achieve high system capacity with low CPU time, as well as improve the transmission capacity of cell edge users.","PeriodicalId":355975,"journal":{"name":"2015 International Conference on Estimation, Detection and Information Fusion (ICEDIF)","volume":"67 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126630764","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 : 2015-10-01DOI: 10.1109/ICEDIF.2015.7280227
Hai Xiao, Yanan Zhang, Linyong Shen, J. Qian, Lunwei Zhang
Nowadays pipeline inspection needs sensors increasingly which can measure long distance and in small diameter. Fiber Bragg grating (FBG) sensors just have the conditions needed for pipeline inspection. Meanwhile, FBG sensors have powerful networking features, and it can be taken to build real-time monitoring system of piping shape. The FBG sensors can calculate the coordinate values in any position relative to the origin point by sensing changes in wavelengths. This paper analyzes the arrangement of the FBG curve reconstruction networking strategies. It introduces the three-dimensional curve reconstruction algorithm in detail. At the same time a prototype sensor is produced. By experiments we derive that the largest absolute reconstruction error is 1.45cm under a strain of 3125με. This paper has laid the foundation for future improvement work.
{"title":"Three dimensional curve reconstruction based on fiber Bragg grating sensors","authors":"Hai Xiao, Yanan Zhang, Linyong Shen, J. Qian, Lunwei Zhang","doi":"10.1109/ICEDIF.2015.7280227","DOIUrl":"https://doi.org/10.1109/ICEDIF.2015.7280227","url":null,"abstract":"Nowadays pipeline inspection needs sensors increasingly which can measure long distance and in small diameter. Fiber Bragg grating (FBG) sensors just have the conditions needed for pipeline inspection. Meanwhile, FBG sensors have powerful networking features, and it can be taken to build real-time monitoring system of piping shape. The FBG sensors can calculate the coordinate values in any position relative to the origin point by sensing changes in wavelengths. This paper analyzes the arrangement of the FBG curve reconstruction networking strategies. It introduces the three-dimensional curve reconstruction algorithm in detail. At the same time a prototype sensor is produced. By experiments we derive that the largest absolute reconstruction error is 1.45cm under a strain of 3125με. This paper has laid the foundation for future improvement work.","PeriodicalId":355975,"journal":{"name":"2015 International Conference on Estimation, Detection and Information Fusion (ICEDIF)","volume":"24 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131111660","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 : 2015-10-01DOI: 10.1109/ICEDIF.2015.7280187
Chenlei Li, Mei Liu, Pengfei Wang, He Wang
A novel subspace method for estimating the parameters of wideband polynomial-phase signals (PPSs) in sensor arrays that exploits the characteristics of the high-order instantaneous moment (HIM) to form a model of signals received by an array is presented. The super-resolution and robustness of subspace theory is employed to estimate the direction of arrival (DOA) and coefficients of the Kth-order PPS. This method, which has lower computational complexity than maximum likelihood (ML), can reduce error propagation and provide more precise estimation than conventional high-order ambiguity function (HAF) methods, as demonstrated by simulation results.
{"title":"Subspace method to estimate parameters of wideband polynomial-phase signals in sensor arrays","authors":"Chenlei Li, Mei Liu, Pengfei Wang, He Wang","doi":"10.1109/ICEDIF.2015.7280187","DOIUrl":"https://doi.org/10.1109/ICEDIF.2015.7280187","url":null,"abstract":"A novel subspace method for estimating the parameters of wideband polynomial-phase signals (PPSs) in sensor arrays that exploits the characteristics of the high-order instantaneous moment (HIM) to form a model of signals received by an array is presented. The super-resolution and robustness of subspace theory is employed to estimate the direction of arrival (DOA) and coefficients of the Kth-order PPS. This method, which has lower computational complexity than maximum likelihood (ML), can reduce error propagation and provide more precise estimation than conventional high-order ambiguity function (HAF) methods, as demonstrated by simulation results.","PeriodicalId":355975,"journal":{"name":"2015 International Conference on Estimation, Detection and Information Fusion (ICEDIF)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130611789","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 : 2015-10-01DOI: 10.1109/ICEDIF.2015.7280176
Fuzhen Zhu, Bing Zhu, Aiping Jiang, QunDing
A novel multi-focus image fusion method based on Uniform Discrete Curvelet Transform (UDCT) is proposed to overcome conventional muti-scale analysis image fusion shortcomings, such as high data redundancy ratio, complicated structure and poor performance, etc. First, UDCT is applied to the multi-focus images and subband coefficients of multi-scales and multi-directions are obtained. Then, different fusion rules are used for high-low frequency coefficients respectively. i.e. high frequency coefficients are fused by rules of local energy, and low frequency coefficients are fused by rules of local average gradient. Finally, Inverse Uniform Discrete Curvelet Transform (IUDCT) is applied to the new high-low frequency coefficients, and the fused result image is obtained. Simulation results show that the proposed UDCT images fusion method is superior to other related multi-scale analysis image fusion methods in subjective visual effect and objective evaluation parameters.
{"title":"Multifocus image fusion based on Uniform Discrete Curvelet Transform","authors":"Fuzhen Zhu, Bing Zhu, Aiping Jiang, QunDing","doi":"10.1109/ICEDIF.2015.7280176","DOIUrl":"https://doi.org/10.1109/ICEDIF.2015.7280176","url":null,"abstract":"A novel multi-focus image fusion method based on Uniform Discrete Curvelet Transform (UDCT) is proposed to overcome conventional muti-scale analysis image fusion shortcomings, such as high data redundancy ratio, complicated structure and poor performance, etc. First, UDCT is applied to the multi-focus images and subband coefficients of multi-scales and multi-directions are obtained. Then, different fusion rules are used for high-low frequency coefficients respectively. i.e. high frequency coefficients are fused by rules of local energy, and low frequency coefficients are fused by rules of local average gradient. Finally, Inverse Uniform Discrete Curvelet Transform (IUDCT) is applied to the new high-low frequency coefficients, and the fused result image is obtained. Simulation results show that the proposed UDCT images fusion method is superior to other related multi-scale analysis image fusion methods in subjective visual effect and objective evaluation parameters.","PeriodicalId":355975,"journal":{"name":"2015 International Conference on Estimation, Detection and Information Fusion (ICEDIF)","volume":"59 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127424846","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 : 2015-10-01DOI: 10.1109/ICEDIF.2015.7280175
Jinyan Ma, Quanbo Ge, Teng Shao
It is well known that estimation performance of the Kalman filtering (KF) depends closely on systemic observability. Moreover, observable degree is usually used to measure the ability of observability on systemic state variables in control and estimation systems. Thereby, there should be a corresponding relation between the estimation performance of the KF and the observable degree. Unfortunately, value of the observable degree can tend to be infinite for most current computational ways and there must be a performance upper bound for the KF estimate. There is a clear impact between the observable degree and the filtering accuracy. Two common approaches to compute observable degree of estimation systems are briefly introduced in this paper, i.e., eigenvalues and eigenvectors analysis method for mean squared error (MSE) and singular value decomposition (SVD) method of observability matrix. Furthermore, the corresponding impact relation between the filtering performance and observable degree is expressly discussed by considering influences from system parameters to the observable degree and the estimation accuracy, respectively. Finally, two simulation examples are given to verify the analysis results obtained in this paper.
{"title":"Impact analysis between observable degrees and estimation accuracy of Kalman filtering","authors":"Jinyan Ma, Quanbo Ge, Teng Shao","doi":"10.1109/ICEDIF.2015.7280175","DOIUrl":"https://doi.org/10.1109/ICEDIF.2015.7280175","url":null,"abstract":"It is well known that estimation performance of the Kalman filtering (KF) depends closely on systemic observability. Moreover, observable degree is usually used to measure the ability of observability on systemic state variables in control and estimation systems. Thereby, there should be a corresponding relation between the estimation performance of the KF and the observable degree. Unfortunately, value of the observable degree can tend to be infinite for most current computational ways and there must be a performance upper bound for the KF estimate. There is a clear impact between the observable degree and the filtering accuracy. Two common approaches to compute observable degree of estimation systems are briefly introduced in this paper, i.e., eigenvalues and eigenvectors analysis method for mean squared error (MSE) and singular value decomposition (SVD) method of observability matrix. Furthermore, the corresponding impact relation between the filtering performance and observable degree is expressly discussed by considering influences from system parameters to the observable degree and the estimation accuracy, respectively. Finally, two simulation examples are given to verify the analysis results obtained in this paper.","PeriodicalId":355975,"journal":{"name":"2015 International Conference on Estimation, Detection and Information Fusion (ICEDIF)","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125881296","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.2015.7280213
Ang Li, Yue Zhang, Junxing Zhang, Gang Zhu
Before software is released, developers often pack it with a software packer in order to protect the internal design. Many existing packers have been unpacked by crackers. To address this problem, we propose an encryption packer that strengthens confidentiality of the protected PE file with the security token. The packer also incorporates techniques of anti-debugging, anti-dumping, and anti-tracking to prevent reverse engineering PE files. We have designed and implemented the system. Our experimental results show that it effectively resists common cracking methods with a little time and space cost.
{"title":"A token strengthened encryption packer to prevent reverse engineering PE files","authors":"Ang Li, Yue Zhang, Junxing Zhang, Gang Zhu","doi":"10.1109/ICEDIF.2015.7280213","DOIUrl":"https://doi.org/10.1109/ICEDIF.2015.7280213","url":null,"abstract":"Before software is released, developers often pack it with a software packer in order to protect the internal design. Many existing packers have been unpacked by crackers. To address this problem, we propose an encryption packer that strengthens confidentiality of the protected PE file with the security token. The packer also incorporates techniques of anti-debugging, anti-dumping, and anti-tracking to prevent reverse engineering PE files. We have designed and implemented the system. Our experimental results show that it effectively resists common cracking methods with a little time and space cost.","PeriodicalId":355975,"journal":{"name":"2015 International Conference on Estimation, Detection and Information Fusion (ICEDIF)","volume":"2 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":"129629714","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.2015.7280177
Z. Niu, Chaowei Chang, Teng Li
The characteristic and applicability of nonparametric estimation are studied in this paper. A method of space registration based on support vector machine (SVM) is proposed. It is compared with the method of sensor registration based on neural network and the method of generalized least square estimator (GLS) in multi-kind parameters. The results illustrate that the method of space registration based on support vector machine is effective.
{"title":"An approach for space registration based on support vector machine","authors":"Z. Niu, Chaowei Chang, Teng Li","doi":"10.1109/ICEDIF.2015.7280177","DOIUrl":"https://doi.org/10.1109/ICEDIF.2015.7280177","url":null,"abstract":"The characteristic and applicability of nonparametric estimation are studied in this paper. A method of space registration based on support vector machine (SVM) is proposed. It is compared with the method of sensor registration based on neural network and the method of generalized least square estimator (GLS) in multi-kind parameters. The results illustrate that the method of space registration based on support vector machine is effective.","PeriodicalId":355975,"journal":{"name":"2015 International Conference on Estimation, Detection and Information Fusion (ICEDIF)","volume":"49 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":"132682625","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.2015.7280190
Chenglong Zhu, Wen-qin Wang, Hui Chen, H. Shao
This paper proposes a receiving nested frequency diverse array (FDA) design scheme. The essence of the proposed technique is to construct a new array structure by systematically nesting two or more uniform linear FDA. Using second-order statistics of the received data, it is capable of providing a significant increasing degrees-of-freedom. The frequency increment across the array results in a scan angle that varies with range and provides resistance to range-dependent interference. The improvement offered by the proposed method as compared to traditional FDA are demonstrated by extensive simulation through analyzing the corresponding beam pattern and direction-of-arrival estimation performance.
{"title":"Target direction-of-arrival estimation using nested frequency diverse array","authors":"Chenglong Zhu, Wen-qin Wang, Hui Chen, H. Shao","doi":"10.1109/ICEDIF.2015.7280190","DOIUrl":"https://doi.org/10.1109/ICEDIF.2015.7280190","url":null,"abstract":"This paper proposes a receiving nested frequency diverse array (FDA) design scheme. The essence of the proposed technique is to construct a new array structure by systematically nesting two or more uniform linear FDA. Using second-order statistics of the received data, it is capable of providing a significant increasing degrees-of-freedom. The frequency increment across the array results in a scan angle that varies with range and provides resistance to range-dependent interference. The improvement offered by the proposed method as compared to traditional FDA are demonstrated by extensive simulation through analyzing the corresponding beam pattern and direction-of-arrival estimation performance.","PeriodicalId":355975,"journal":{"name":"2015 International Conference on Estimation, Detection and Information Fusion (ICEDIF)","volume":"12 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":"127782939","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.2015.7280161
Shuang Li, Lei Zhu, Gao Huang, Shiji Song
Traditional classification algorithms often perform well when training and testing data are drawn from the identical distribution. However, in real applications, this condition may be not satisfied. Domain adaptation is an effective approach to deal with this problem. In this paper, we propose an efficient two-stage algorithm for domain adaptation. In the label transfer stage, we utilize training classifier to predict testing data with different weights (confidence) based on their signed distance to the domain separator, which is a classifier maximally separating training data (from source domain) and testing data (from target domain) apart. In the label propagation stage, we introduce manifold regularization to propagate the labels of target data with larger weights to ones with smaller weights. Furthermore, the target classifier can be obtained in a closed form. The extensive experiments on an artificial dataset and a real benchmark verify the effectiveness of our approach. Empirical results demonstrate that the proposed method is competitive with state-of-the-art domain adaptation algorithms.
{"title":"Label transfer and propagation for domain adaptation","authors":"Shuang Li, Lei Zhu, Gao Huang, Shiji Song","doi":"10.1109/ICEDIF.2015.7280161","DOIUrl":"https://doi.org/10.1109/ICEDIF.2015.7280161","url":null,"abstract":"Traditional classification algorithms often perform well when training and testing data are drawn from the identical distribution. However, in real applications, this condition may be not satisfied. Domain adaptation is an effective approach to deal with this problem. In this paper, we propose an efficient two-stage algorithm for domain adaptation. In the label transfer stage, we utilize training classifier to predict testing data with different weights (confidence) based on their signed distance to the domain separator, which is a classifier maximally separating training data (from source domain) and testing data (from target domain) apart. In the label propagation stage, we introduce manifold regularization to propagate the labels of target data with larger weights to ones with smaller weights. Furthermore, the target classifier can be obtained in a closed form. The extensive experiments on an artificial dataset and a real benchmark verify the effectiveness of our approach. Empirical results demonstrate that the proposed method is competitive with state-of-the-art domain adaptation algorithms.","PeriodicalId":355975,"journal":{"name":"2015 International Conference on Estimation, Detection and Information Fusion (ICEDIF)","volume":"30 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":"122572863","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.2015.7280186
Xiaowen Liu, Lei Jiang, Hua Xu
Based on end effects of empirical mode decomposition (EMD) of Hilbert-Huang Transform (HHT) in detecting ultra-wideband (UWB) signal, the non-equidistance grey model (NGM) is analyzed to mitigate end effects of EMD by predicting uncertainly data. Since some extreme points can hardly be detected in particular situation, the modified NGM(1,1)model using Fourier series (TFNGM(1,1)) at time domain is proposed. Furthermore, the new criterion to terminate the iteration process in EMD is also proposed and analyzed in this paper, which can effectively improve the signal to noise ratio of reconstructive signal. The theoretical deduction and computer simulation of this new method are made, which show that the proposed method can reconstruct UWB-IR signal accurately in bad signal situations.
{"title":"Study on end effects of EMD with HHT for UWB signal detection","authors":"Xiaowen Liu, Lei Jiang, Hua Xu","doi":"10.1109/ICEDIF.2015.7280186","DOIUrl":"https://doi.org/10.1109/ICEDIF.2015.7280186","url":null,"abstract":"Based on end effects of empirical mode decomposition (EMD) of Hilbert-Huang Transform (HHT) in detecting ultra-wideband (UWB) signal, the non-equidistance grey model (NGM) is analyzed to mitigate end effects of EMD by predicting uncertainly data. Since some extreme points can hardly be detected in particular situation, the modified NGM(1,1)model using Fourier series (TFNGM(1,1)) at time domain is proposed. Furthermore, the new criterion to terminate the iteration process in EMD is also proposed and analyzed in this paper, which can effectively improve the signal to noise ratio of reconstructive signal. The theoretical deduction and computer simulation of this new method are made, which show that the proposed method can reconstruct UWB-IR signal accurately in bad signal situations.","PeriodicalId":355975,"journal":{"name":"2015 International Conference on Estimation, Detection and Information Fusion (ICEDIF)","volume":"59 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":"122169373","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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