基于角度技术标准,研究总体质量特性值服从V on M ises分布M(μ0,k)的角度质量控制问题。应用方向数据统计方法,从平均方向和合向量长度的概念出发,研究角度单值的分布和移动合向量长度的分布,给出标准值给定和标准值未给定两种情况下...基于角度技术标准,研究总体质量特性值服从V on M ises分布M(μ0,k)的角度质量控制问题。应用方向数据统计方法,从平均方向和合向量长度的概念出发,研究角度单值的分布和移动合向量长度的分布,给出标准值给定和标准值未给定两种情况下角度单值控制图和移动合向量长度控制图的控制限。测算结果表明V on M ises分布M(μ0,k)的刻度参数对控制限的大小起着关键作用。展开更多
本文针对移动无线传感网提出一种结合节点移动向量和接收信号强度指示值RSSI(Received Signal Strength Indicator)信息的机会主义路由OR-RSSI,利用Sink节点Beacon报文的RSSI信息建立并更新机会概率值,使用报文广播后所能到达的具有最...本文针对移动无线传感网提出一种结合节点移动向量和接收信号强度指示值RSSI(Received Signal Strength Indicator)信息的机会主义路由OR-RSSI,利用Sink节点Beacon报文的RSSI信息建立并更新机会概率值,使用报文广播后所能到达的具有最大机会概率值的最佳节点进行存储转发,完成移动无线传感网信息收集.OR-RSSI是一种良好的后择路由,不以既存路径为基础,不需额外设备支持,具有报文成功传输率高、网络有效吞吐量大以及能耗低等优点.展开更多
Based on the fact that the variation of tile direction of arrival (DOA) isslower than that of the channel fading, the steering vector of the desired signal is estimatedfirstly using a subspace decomposition method and...Based on the fact that the variation of tile direction of arrival (DOA) isslower than that of the channel fading, the steering vector of the desired signal is estimatedfirstly using a subspace decomposition method and then a constrained condition is configured.Traffic signals are further employed to estimate the channel vector based on the constrained leastsquares criterion. We use the iterative least squares with projection (ILSP) algorithm initializedby the pilot to get the estimation. The accuracy of channel estimation and symbol detection can beprogressively increased through the iteration procedure of the ILSP algorithm. Simulation resultsdemonstrate that the proposed algorithm improves the system performance effectively compared withthe conventional 2-D RAKE receiver.展开更多
In this letter,capacity estimation for Mobile Ad hoc NETworks (MANETs) using direc- tional antennas are studied.Two Matrix-based Fast Calculation Algorithms (MFCAs) are proposed to estimate the network capacity in a n...In this letter,capacity estimation for Mobile Ad hoc NETworks (MANETs) using direc- tional antennas are studied.Two Matrix-based Fast Calculation Algorithms (MFCAs) are proposed to estimate the network capacity in a network scenario in which there is no channel sharing among multiple sessions and traffic is sensitive to delay with an end-to-end delay constraint.The first algo- rithm MFCA-1 is used to estimate network capacity in a situation where all links have the same delay. It estimates the maximum number of k-hop sessions in a network based on the k-hop adjacency matrix of the network.The second algorithm MFCA-2 is used to estimate network capacity in a situation where different links may have different delays.It calculates the maximum number of sessions in a network with an end-to-end delay constraint based on the adjacency matrix and the link-delay matrix of the network.Numerical and simulation results show that both MFCA-1 and MFCA-2 can calculate network capacity much faster than the well-known Brute-Force Search Algorithm (BFSA) but with the same accuracy.展开更多
Support Vector Machine (SVM) is a powerful methodology for solving problems in non-linear classification, function estimation and density estimation, which has also led to many other recent developments in kernel base...Support Vector Machine (SVM) is a powerful methodology for solving problems in non-linear classification, function estimation and density estimation, which has also led to many other recent developments in kernel based methods in general. This paper presents a highaccuracy and fault-tolerant SVM for the mobile geo-location problem, which is an important component of pervasive computing. Simulation results show its basic location performance, and illustrate impacts of the number of training samples and training area on test location error.展开更多
This paper introduces and analyzes a detection scheme for adaptive suppression of Multiuser Access Interference (MAI) and MultiPath Distortion (MPD) for mobile station of DS/CDMA system. The proposed detection scheme ...This paper introduces and analyzes a detection scheme for adaptive suppression of Multiuser Access Interference (MAI) and MultiPath Distortion (MPD) for mobile station of DS/CDMA system. The proposed detection scheme may amount to a RAKE receiver structure,wherein each branch is considered as a linear multiuser filter designed under a Linear Constrained Minimum Variance (LCMV) optimization strategy to suppress MAI, followed by a proper combining rule to suppress MPD. The adaptive blind multiuser detecting and optimum combining of the proposed receiver are realized, based on the Least-Mean-Square (LMS) algorithm and an adaptive vector tracking algorithm respectively. Finally, the feasibility of the above two algorithms is proved by the numerical results provided by computer simulation.展开更多
文摘基于角度技术标准,研究总体质量特性值服从V on M ises分布M(μ0,k)的角度质量控制问题。应用方向数据统计方法,从平均方向和合向量长度的概念出发,研究角度单值的分布和移动合向量长度的分布,给出标准值给定和标准值未给定两种情况下角度单值控制图和移动合向量长度控制图的控制限。测算结果表明V on M ises分布M(μ0,k)的刻度参数对控制限的大小起着关键作用。
文摘本文针对移动无线传感网提出一种结合节点移动向量和接收信号强度指示值RSSI(Received Signal Strength Indicator)信息的机会主义路由OR-RSSI,利用Sink节点Beacon报文的RSSI信息建立并更新机会概率值,使用报文广播后所能到达的具有最大机会概率值的最佳节点进行存储转发,完成移动无线传感网信息收集.OR-RSSI是一种良好的后择路由,不以既存路径为基础,不需额外设备支持,具有报文成功传输率高、网络有效吞吐量大以及能耗低等优点.
基金The National Hi-Tech Development Plan (863-317-03-01-02-04-20).
文摘Based on the fact that the variation of tile direction of arrival (DOA) isslower than that of the channel fading, the steering vector of the desired signal is estimatedfirstly using a subspace decomposition method and then a constrained condition is configured.Traffic signals are further employed to estimate the channel vector based on the constrained leastsquares criterion. We use the iterative least squares with projection (ILSP) algorithm initializedby the pilot to get the estimation. The accuracy of channel estimation and symbol detection can beprogressively increased through the iteration procedure of the ILSP algorithm. Simulation resultsdemonstrate that the proposed algorithm improves the system performance effectively compared withthe conventional 2-D RAKE receiver.
基金Supported by the National Natural Science Foundation of China (No.60402005).
文摘In this letter,capacity estimation for Mobile Ad hoc NETworks (MANETs) using direc- tional antennas are studied.Two Matrix-based Fast Calculation Algorithms (MFCAs) are proposed to estimate the network capacity in a network scenario in which there is no channel sharing among multiple sessions and traffic is sensitive to delay with an end-to-end delay constraint.The first algo- rithm MFCA-1 is used to estimate network capacity in a situation where all links have the same delay. It estimates the maximum number of k-hop sessions in a network based on the k-hop adjacency matrix of the network.The second algorithm MFCA-2 is used to estimate network capacity in a situation where different links may have different delays.It calculates the maximum number of sessions in a network with an end-to-end delay constraint based on the adjacency matrix and the link-delay matrix of the network.Numerical and simulation results show that both MFCA-1 and MFCA-2 can calculate network capacity much faster than the well-known Brute-Force Search Algorithm (BFSA) but with the same accuracy.
文摘Support Vector Machine (SVM) is a powerful methodology for solving problems in non-linear classification, function estimation and density estimation, which has also led to many other recent developments in kernel based methods in general. This paper presents a highaccuracy and fault-tolerant SVM for the mobile geo-location problem, which is an important component of pervasive computing. Simulation results show its basic location performance, and illustrate impacts of the number of training samples and training area on test location error.
文摘This paper introduces and analyzes a detection scheme for adaptive suppression of Multiuser Access Interference (MAI) and MultiPath Distortion (MPD) for mobile station of DS/CDMA system. The proposed detection scheme may amount to a RAKE receiver structure,wherein each branch is considered as a linear multiuser filter designed under a Linear Constrained Minimum Variance (LCMV) optimization strategy to suppress MAI, followed by a proper combining rule to suppress MPD. The adaptive blind multiuser detecting and optimum combining of the proposed receiver are realized, based on the Least-Mean-Square (LMS) algorithm and an adaptive vector tracking algorithm respectively. Finally, the feasibility of the above two algorithms is proved by the numerical results provided by computer simulation.
