摘要:
An optically transparent conformal polymer antenna and a method for producing the antenna from optically transparent conductive polymers. The method includes selecting an antenna design; providing an optically transparent conductive polymer material capable of being printed using an ink jet printer device; and printing layers of the polymer in the desired antenna design pattern onto a substrate. The surface tension of the polymer solution is adjusted to allow the material to pass through a printer head for printing on a flexible substrate. The material is modified to have a higher conductivity than regular conductive polymer materials so that a suitable antenna may be formed.
摘要:
An optically transparent conformal polymer antenna and a method for producing the antenna from optically transparent conductive polymers. The method includes selecting an antenna design; providing an optically transparent conductive polymer material capable of being printed using an ink jet printer device; and printing layers of the polymer in the desired antenna design pattern onto a substrate. The surface tension of the polymer solution is adjusted to allow the material to pass through a printer head for printing on a flexible substrate. The material is modified to have a higher conductivity than regular conductive polymer materials so that a suitable antenna may be formed.
摘要:
Reconfigurable antennas in an ad-hoc network are provided where all nodes employ MIMO/SIMO/MISO communication techniques. Three types of reconfigurable antennas: Reconfigurable Printed Dipole Array (RPDA), Reconfigurable Circular Patch Antenna (RCPA) and Two-Port Reconfigurable CRLH Leaky Wave Antennas are used. The RPDA, RCPA and the CRLH Leaky Wave antennas have a different number of configurations as well as different degrees of pattern diversity between possible configurations. To effectively use these antennas in a network, the performance of centralized and decentralized antenna configuration selection schemes are quantified for reconfiguration at one or both link ends. The sum capacity of the network is used as a metric to quantify the performance of these antennas in measured and simulated network channels.
摘要翻译:在所有节点采用MIMO / SIMO / MISO通信技术的情况下,提供了自组织网络中的可重新配置的天线。 三种类型的可重构天线:可重构可编配偶极阵列(RPDA),可重配置圆形补片天线(RCPA)和双端口可重构CRLH泄漏波天线。 RPDA,RCPA和CRLH泄漏波天线在可能的配置之间具有不同的配置数量以及不同程度的模式分集。 为了在网络中有效地使用这些天线,集中式和分散式天线配置选择方案的性能被量化以在一个或两个链路端重新配置。 网络的总容量用作量度这些天线在测量和模拟网络信道中的性能的度量。
摘要:
A method for selecting the state of a reconfigurable antenna installed at either the receiver or transmitter of a communication system is provided. The proposed method uses online learning algorithm based on the theory of multi-armed bandit to perform antenna state selection. The selection technique utilizes the Post-Processing Signal-to-Noise Ratio (PPSNR) as a reward metric and maximizes the long-term average reward over time. The performance of the learning based selection technique is empirically evaluated using wireless channel data. The data is collected in an indoor environment using a 2×2 MIMO OFDM system employing highly directional metamaterial Reconfigurable Leaky Wave Antennas. The learning based selection technique shows performance improvements in terms of average PPSNR and regret over conventional heuristic policies.
摘要翻译:提供了一种用于选择安装在通信系统的接收机或发射机处的可重新配置天线的状态的方法。 提出的方法使用基于多武装强盗理论的在线学习算法进行天线状态选择。 选择技术利用后处理信噪比(PPSNR)作为奖励度量,并使长期平均奖励随时间推移最大化。 使用无线信道数据对基于学习的选择技术的性能进行经验性评估。 使用采用高度定向的超材料可重构泄漏波天线的2×2 MIMO OFDM系统在室内环境中收集数据。 基于学习的选择技术显示了平均PPSNR的性能改进,并对传统启发式策略感到遗憾。
摘要:
A method for selecting the state of a reconfigurable antenna installed at either the receiver or transmitter of a communication system is provided. The proposed method uses online learning algorithm based on the theory of multi-armed bandit to perform antenna state selection. The selection technique utilizes the Post-Processing Signal-to-Noise Ratio (PPSNR) as a reward metric and maximizes the long-term average reward over time. The performance of the learning based selection technique is empirically evaluated using wireless channel data. The data is collected in an indoor environment using a 2×2 MIMO OFDM system employing highly directional metamaterial Reconfigurable Leaky Wave Antennas. the learning based selection technique shows performance improvements in terms of average PPSNR and regret over conventional heuristic policies.
摘要翻译:提供了一种用于选择安装在通信系统的接收机或发射机处的可重新配置天线的状态的方法。 提出的方法使用基于多武装强盗理论的在线学习算法进行天线状态选择。 选择技术利用后处理信噪比(PPSNR)作为奖励度量,并使长期平均奖励随时间推移最大化。 使用无线信道数据对基于学习的选择技术的性能进行经验性评估。 使用采用高度定向的超材料可重构泄漏波天线的2×2 MIMO OFDM系统在室内环境中收集数据。 基于学习的选择技术显示了平均PPSNR的性能改进,并对传统启发式策略感到遗憾。
摘要:
Channel based authentication schemes for intrusion detection that operates at the physical layer are described that apply the capabilities of a pattern re-configurable antenna for improved performance. Performance gains are achieved by the schemes as a function of the number of antenna modes. The first scheme relies on a channel based fingerprint for differentiating between transmitters whereas another scheme poses the intruder detection problem as a generalized likelihood ratio (GLR) test problem that operates on the channel realizations corresponding to different modes present in a reconfigurable antenna. The benefits of these two schemes over single element antennas are demonstrated. General guidelines are provided on how to choose the different elements of the decision metric in order to realize better performance for physical layer based authentication schemes based on any diversity scheme.
摘要:
A method allows reconfigurable multi-element antennas to select the antenna configuration in MIMO, SIMO and MISO communication system. This selection scheme uses spatial correlation, channel reciprocal condition number, delay spread and average Signal to Noise Ratio (SNR) information to select the antenna radiation pattern at the receiver. Using this approach, it is possible to achieve capacity gains in a multi-element reconfigurable antenna system without modifying the data frame of a conventional wireless communication system. The capacity gain achievable with this configuration selection approach is calculated through numerical simulations using reconfigurable circular patch antennas at the receiver of a MIMO system that employs minimum mean square error receivers for channel estimation. Channel capacity and Bit Error Rate (BER) results show the improvement offered relative to a conventional antenna selection technique for reconfigurable MIMO systems.
摘要:
A magnetic permeability enhanced metamaterial is used to enhance the antenna array of a Multiple Input Multiple Output (MIMO) communication system. A rectangular patch antenna array is formed including a stack of a plurality of unit cells, where each unit cell includes an inductive loop of magnetic permeability enhanced metamaterials embedded in a host dielectric substrate. The use of such metamaterials permits the antenna arrays to be made smaller, and have less mutual coupling, when using a metamaterial substrate. The measured channel capacities of the antenna arrays are similar for the metamaterial and conventional substrates; however, the capacity improvement when using MIMO relative to single antenna communication systems is greater for antennas on metamaterial substrates.
摘要:
Channel based authentication schemes for intrusion detection that operates at the physical layer are described that apply the capabilities of a pattern re-configurable antenna for improved performance. Performance gains are achieved by the schemes as a function of the number of antenna modes. The first scheme relies on a channel based fingerprint for differentiating between transmitters whereas another scheme poses the intruder detection problem as a generalized likelihood ratio (GLR) test problem that operates on the channel realizations corresponding to different modes present in a reconfigurable antenna. The benefits of these two schemes over single element antennas are demonstrated. General guidelines are provided on how to choose the different elements of the decision metric in order to realize better performance for physical layer based authentication schemes based on any diversity scheme.
摘要:
A method for selecting the state of a reconfigurable antenna installed at either the receiver or transmitter of a communication system is provided. The proposed method uses online learning algorithm based on the theory of multi-armed bandit to perform antenna state selection. The selection technique utilizes the Post-Processing Signal-to-Noise Ratio (PPSNR) as a reward metric and maximizes the long-term average reward over time. The performance of the learning based selection technique is empirically evaluated using wireless channel data. The data is collected in an indoor environment using a 2×2 MIMO OFDM system employing highly directional metamaterial Reconfigurable Leaky Wave Antennas. the learning based selection technique shows performance improvements in terms of average PPSNR and regret over conventional heuristic policies.
摘要翻译:提供了一种用于选择安装在通信系统的接收机或发射机处的可重新配置天线的状态的方法。 提出的方法使用基于多武装强盗理论的在线学习算法进行天线状态选择。 选择技术利用后处理信噪比(PPSNR)作为奖励度量,并使长期平均奖励随时间推移最大化。 使用无线信道数据对基于学习的选择技术的性能进行经验性评估。 使用采用高度定向的超材料可重构泄漏波天线的2×2 MIMO OFDM系统在室内环境中收集数据。 基于学习的选择技术显示了平均PPSNR的性能改进,并对传统启发式策略感到遗憾。