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Patent Agency Ranking
公开(公告)号：US20150256234A1
公开(公告)日：2015-09-10
申请号：US14644147
申请日：2015-03-10
Inventor： Tamal Bose , Mahi Abdelbar , William Tranter , Garrett Vanhoy
Abstract: Multiuser classification of the modulation schemes of simultaneous multiple unknown transmitters is disclosed. Cooperation among multiple cognitive radio receivers for modulation classification offers improvements in classification performance and overcomes detrimental channel effects that degrade single cognitive radio classifier performance. A centralized soft-combining data fusion algorithm based on the joint probability distribution of fourth order cumulants is presented for cooperative modulation classification. Fourth order cumulants of received signals are calculated as discriminating features for different modulation schemes at each cognitive radio node and sent to a centralized data node. The data node chooses the modulation scheme that maximizes the joint probability of the estimated cumulants.
Abstract translation: 公开了同时多个未知发射机的调制方案的多用户分类。 用于调制分类的多个认知无线电接收机之间的合作提供了分类性能的改进，并克服了降低单个认知无线电分类器性能的有害信道效应。 提出了一种基于四阶累积量联合概率分布的集中软组合数据融合算法，用于协同调制分类。 接收信号的四阶累积量被计算为每个认知无线电节点处的不同调制方案的鉴别特征并发送到集中式数据节点。 数据节点选择最大化估计累积量的联合概率的调制方案。
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公开(公告)号：US09503923B2
公开(公告)日：2016-11-22
申请号：US14644147
申请日：2015-03-10
Inventor： Tamal Bose , Mahi Abdelbar , William Tranter , Garrett Vanhoy
Abstract: Multiuser classification of the modulation schemes of simultaneous multiple unknown transmitters is disclosed. Cooperation among multiple cognitive radio receivers for modulation classification offers improvements in classification performance and overcomes detrimental channel effects that degrade single cognitive radio classifier performance. A centralized soft-combining data fusion algorithm based on the joint probability distribution of fourth order cumulants is presented for cooperative modulation classification. Fourth order cumulants of received signals are calculated as discriminating features for different modulation schemes at each cognitive radio node and sent to a centralized data node. The data node chooses the modulation scheme that maximizes the joint probability of the estimated cumulants.
Abstract translation: 公开了同时多个未知发射机的调制方案的多用户分类。 用于调制分类的多个认知无线电接收机之间的合作提供了分类性能的改进，并克服了降低单个认知无线电分类器性能的有害信道效应。 提出了一种基于四阶累积量联合概率分布的集中软组合数据融合算法，用于协同调制分类。 接收信号的四阶累积量被计算为每个认知无线电节点处的不同调制方案的鉴别特征并发送到集中式数据节点。 数据节点选择最大化估计累积量的联合概率的调制方案。
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公开(公告)号：US10903918B2
公开(公告)日：2021-01-26
申请号：US15833709
申请日：2017-12-06
Inventor： Tamal Bose , Hao Xin , Michael Marefat , Hamed Asadi , Ahmed Abdelrahman , Min Liang
Abstract: A cognitive HF radio is disclosed having a cognitive engine that optimizes HF transmission parameters on the basis of learned experience with previous transmission under varying transmission and environmental conditions. Additionally, electrically small HF antennas optionally using non-Foster matching elements are disclosed. Furthermore, another electrically small HF antenna and associated impedance matching networks are disclosed, including an impedance matching network using non-Foster matching elements.
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公开(公告)号：US20180159642A1
公开(公告)日：2018-06-07
申请号：US15833709
申请日：2017-12-06
Inventor： Tamal Bose , Hao Xin , Michael Marefat , Hamed Asadi , Ahmed Abdelrahman , Min Liang
IPC: H04B17/309 , H01Q1/36 , H01Q1/48 , H04B1/48 , H01Q9/38
CPC classification number: H04B17/309 , H01Q1/362 , H01Q1/48 , H01Q9/38 , H04B1/48
Abstract: A cognitive HF radio is disclosed having a cognitive engine that optimizes HF transmission parameters on the basis of learned experience with previous transmission under varying transmission and environmental conditions. Additionally, electrically small HF antennas optionally using non-Foster matching elements are disclosed. Furthermore, another electrically small HF antenna and associated impedance matching networks are disclosed, including an impedance matching network using non-Foster matching elements.
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公开(公告)号：US20150257156A1
公开(公告)日：2015-09-10
申请号：US14643789
申请日：2015-03-10
Inventor： Tamal Bose , Haris Volos , Garrett Vanhoy , Mohammed Hirzallah , Carlos Bastidas
CPC classification number: H04W72/00 , H04B17/3913 , H04W16/14 , H04W72/04 , H04W84/18
Abstract: An intelligent cognitive radio system is disclosed that acquires information about its environment to make operational decisions. Dynamic radio frequency mapping provides estimates of RF power levels over an area where spectrum activity or changes in the environment may be transient. These power levels can be used for a variety of applications such as interference management, spectrum policing, and facilitating spectrum auctions. The RF mapping can be accomplished by a network of sensors that are distributed in a geographical area and used to spatially sample signal levels. The present invention can quantify the effect of aliasing on the estimation of an RF map as a function of the sampling density and the number of antennas used at the sensing node.
Abstract translation: 公开了一种智能认知无线电系统，其获取关于其环境的信息以进行操作决策。 动态射频映射提供频谱活动或环境变化可能是瞬态的区域的RF功率电平的估计。 这些功率电平可用于各种应用，如干扰管理，频谱管制，以及促进频谱拍卖。 RF映射可以通过分布在地理区域中并用于空间采样信号电平的传感器网络来实现。 本发明可以根据采样密度和在感测节点处使用的天线数量来量化混叠对RF映射的估计的影响。
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