针对非视距NLOS(Non Line of Sight)隧道环境的特殊性,基于传播图理论提出通过细化散射点间传递函数的方法提高隧道信道建模精度。构建隧道几何模型,并将模型划分为多个散射点集合,电磁波的传播路线可表述为点集合的排列,通过相邻点集...针对非视距NLOS(Non Line of Sight)隧道环境的特殊性,基于传播图理论提出通过细化散射点间传递函数的方法提高隧道信道建模精度。构建隧道几何模型,并将模型划分为多个散射点集合,电磁波的传播路线可表述为点集合的排列,通过相邻点集合间子传递函数的级联可得到该路线的传递函数。引入点集合间转移概率的概念描述其可视情况,用传播路线上相邻点集合间转移概率之积调整该路线的传递函数。所有路线传递函数之和即为信道频域传递函数,进而得到信道冲激相应CIR(Channel Impulse Response),并与相同环境下实际信道测量结果进行对比。在此基础上分析多天线相关性、角度分布与信道容量,发现隧道中密集的反射会导致天线间相关性较高及信道矩阵退化。展开更多
IELDVD060:9286:29507-474 0603716 用边缘检测实现的视频序列的运动估计=Motion esti- mation in video sequences by edge detection[会,英]／ Boyaci,F．／／Signal Processing and Communications Ap-- plications Conference,2004...IELDVD060:9286:29507-474 0603716 用边缘检测实现的视频序列的运动估计=Motion esti- mation in video sequences by edge detection[会,英]／ Boyaci,F．／／Signal Processing and Communications Ap-- plications Conference,2004．Proceedings of the IEEE 12th．-474-477(A)展开更多
The paper presents a situational theory of information.It’s simultaneously given a mathematical description using channel theory.Based on this theory,an information retrieval system model is proposed.
This paper studies the cognitive broadcast channel in which the primary user communicates to the primary receiver, while the secondary user has noncausal knowledge of the primary radio's codeword and expects to co...This paper studies the cognitive broadcast channel in which the primary user communicates to the primary receiver, while the secondary user has noncausal knowledge of the primary radio's codeword and expects to communicate to two secondary receivers. Comparing with the existing cognitive radio channel which considers only one secondary receiver, cognitive broadcast channel studies the case that there are multiple secondary receivers.To this end, we investigate the fundamental limits of the performance of the Gaussian cognitive broadcast channel from the information theoretic perspective. Specifically, we derive the capacity region of the Gaussian cognitive degraded broadcast channel with weak interference.展开更多
Channel estimation is very important for MIMO (Multiple Input Multiple Output) OFDM (Or-thogonal Frequency Division Multiplexing) systems, but its precision is reduced due to the noise in channel. In this letter, circ...Channel estimation is very important for MIMO (Multiple Input Multiple Output) OFDM (Or-thogonal Frequency Division Multiplexing) systems, but its precision is reduced due to the noise in channel. In this letter, circularly slipping window is introduced to resist the noise. It can be proved by simulation that with the same channel model, optimal slipping window length is the same with different vehicle speed. MSE (Minimum Square Error) of channel is greatly reduced with circularly slipping window, and performance of the system is closed to that with correct channel estimation.展开更多
Shannon's noisy channel coding theorem is a cornerstone in the history of classical information theory. A proof of Shannon's noisy channel coding theorem using quantum notations is presented, which sets up a b...Shannon's noisy channel coding theorem is a cornerstone in the history of classical information theory. A proof of Shannon's noisy channel coding theorem using quantum notations is presented, which sets up a bridge between classical information theory and the developing quantum information theory.展开更多
文摘针对非视距NLOS(Non Line of Sight)隧道环境的特殊性,基于传播图理论提出通过细化散射点间传递函数的方法提高隧道信道建模精度。构建隧道几何模型,并将模型划分为多个散射点集合,电磁波的传播路线可表述为点集合的排列,通过相邻点集合间子传递函数的级联可得到该路线的传递函数。引入点集合间转移概率的概念描述其可视情况,用传播路线上相邻点集合间转移概率之积调整该路线的传递函数。所有路线传递函数之和即为信道频域传递函数,进而得到信道冲激相应CIR(Channel Impulse Response),并与相同环境下实际信道测量结果进行对比。在此基础上分析多天线相关性、角度分布与信道容量,发现隧道中密集的反射会导致天线间相关性较高及信道矩阵退化。
文摘IELDVD060:9286:29507-474 0603716 用边缘检测实现的视频序列的运动估计=Motion esti- mation in video sequences by edge detection[会,英]／ Boyaci,F．／／Signal Processing and Communications Ap-- plications Conference,2004．Proceedings of the IEEE 12th．-474-477(A)
文摘The paper presents a situational theory of information.It’s simultaneously given a mathematical description using channel theory.Based on this theory,an information retrieval system model is proposed.
基金supported by the Project-Sponsored by SRF for ROCS,SEMthe National Science and Technology Major Project of the Ministry of Science and Technologyof China under Grants No.2012ZX03003004,No.2010ZX03006002+2 种基金the National Natural Science Foundation of China under Grants No.61172052,No.61261046the Scientific Research Foundation of the Higher Education Institutions of Guangxi under Grant No.201203YB159Wuzhou University Foundation under Grant No.2012B001
文摘This paper studies the cognitive broadcast channel in which the primary user communicates to the primary receiver, while the secondary user has noncausal knowledge of the primary radio's codeword and expects to communicate to two secondary receivers. Comparing with the existing cognitive radio channel which considers only one secondary receiver, cognitive broadcast channel studies the case that there are multiple secondary receivers.To this end, we investigate the fundamental limits of the performance of the Gaussian cognitive broadcast channel from the information theoretic perspective. Specifically, we derive the capacity region of the Gaussian cognitive degraded broadcast channel with weak interference.
文摘Channel estimation is very important for MIMO (Multiple Input Multiple Output) OFDM (Or-thogonal Frequency Division Multiplexing) systems, but its precision is reduced due to the noise in channel. In this letter, circularly slipping window is introduced to resist the noise. It can be proved by simulation that with the same channel model, optimal slipping window length is the same with different vehicle speed. MSE (Minimum Square Error) of channel is greatly reduced with circularly slipping window, and performance of the system is closed to that with correct channel estimation.
基金supported by the National Natural Science Foundation of China (Grant Nos.60878059,11004033 and 10947147)the National Fundamental Research Program of China (Grant No.2011CBA00200)the Natural Science Foundation of Fujian Province (Grant No.2010J01002)
文摘Shannon's noisy channel coding theorem is a cornerstone in the history of classical information theory. A proof of Shannon's noisy channel coding theorem using quantum notations is presented, which sets up a bridge between classical information theory and the developing quantum information theory.
