高血压及药物治疗对飞行员认知功能的影响

目的探讨高血压及药物治疗对飞行员认知功能的影响。方法对13名无并发症的高血压飞行员和10名经降血压药物治疗后血压恢复正常的飞行员,进行闪光融合频率、多项反应时、空间位置记忆广度、注意力集中能力、警戒性等认知功能测试,并与年龄相近的13名健康飞行员对照。结果高血压组闪光融合频率、注意力集中能力、空间位置记忆广度分值均明显低于对照组（P〈0.05、P〈0.01和P〈0.01）,多项反应时中红、黄绿反应时间明显慢于对照组（P〈0.01）,警戒性作业总错误率明显高于对照组（P〈0.01）。高血压治疗组与高血压组均有统计学差异（P〈0.05、P〈0.01）。结论患高血压病飞行员有不同程度的认知功能减退,在飞行人员医学鉴定时应予重视。     

A MULTI-RESOLUTION SPECTRUM SENSING （MRSS） SCHEME UNDER MEASUREMENT-BASED CHANNEL MODELS IN COGNITIVE RADIO

Spectrum sensing is one of the key technologies in Cognitive Radios (CRs). Previous works are accomplished under simple channel models, which may lead to unreliable results when it applied to the over-the-air systems. In this paper, we investigate the performance of a Multi-Resolution Spectrum Sensing (MRSS) algorithm under measurement-based channel models in China. MRSS is a wavelet based algorithm which is suitable for non-stationary, wideband signal analysis. Using statistical modeling, measurement-based channel models are presented under typical urban and suburban scenarios in Shanghai, China. Then, the performance of the MRSS algorithm is evaluated under the measurement-based channel models. Simulation results show that, using MRSS, the performance is always better in the scenarios where Line-Of-Sight (LOS) path exist; also, in LOS scenarios, rich scattering effect helps to increase the performance.     

A novel cooperative spectrum sensing method based on cooperative game theory

A novel cooperative sensing method is proposed in this paper. The proposed scheme adopts sensing creditability degree to characterize the impact of the distance and the channel parameters on the sensing result, and considers that each user has different average SNR and different decision threshold, by using General Nash Bargaining Solution (GNBS) strategy in Cooperative Game Theory (CGT), the detec-tion performance for two-user case are derived. For multi-user case, the sensing performance is obtained with Hungarian method. Compared with the traditional schemes such as Nash Bargaining Solution (NBS) and AND, the proposed scheme covers all the factors mentioned above, and enhances the sensing rationality and reliability. Simulation results show that the proposed scheme can further improve the sensing performance and creditability.     

Graph-theoretic algorithm for spectrum allocation in IEEE 802.22 wireless mesh network

The IEEE 802.22 standard based on wireless Cognitive Radio (CR) is an optimal solution to resolve the inefficient spectrum utility problem. In this paper, we focus on the spectrum allocation in IEEE 802.22 mesh networks and propose a new graph-theory algorithm. The algorithm aims at two objectives: one is the sum of the allocated channel bandwidth is maximum, and the other is the number of users can be active simultaneity is maximum. In this proposed algorithm, the topology of network was modeled as a general graph and could be transformed into a weighted complete bipartite-graph by three processes. The simulations show that the presented algorithm can improve the performance of spectrum allocation.     

Public policy structuring incorporating reciprocal expectation analysis

This paper proposes a method of structuring public policy by incorporating reciprocal expectation analysis. The proposed method is characterized by three components: identification of the problem structure perceived by stakeholders using cognitive maps, policy structuring analysis with a value–driver matrix and a reciprocal expectation matrix, and feasibility analysis of agreements among the stakeholders. The three types of relationship among stakeholders are derived from the feasibility analysis, which are “Dosho-imu”, “Isho-imu”, and “Domu”. Three tests of feasibility to reach the agreement are then proposed: “information-sharing test”, “bargaining test”, and “reframing test”. A case study is presented, applying the method to strategic transportation planning in the Kanto region of Japan. Finally, the potential functions of the proposed method in practice are discussed.     

A novel cognitive system model and approach to transformation of information granules

In this paper, a novel cognitive system model is established based on formal concept analysis to exactly describe human cognitive processes. Two new operators, extent–intent and intent–extent, are introduced between an object and its attributes. By analyzing the necessity and sufficient relations between the object and some of its attributes, the information granule concept is investigated in human cognitive processes. Furthermore, theories of transforming arbitrary information granule into necessary, sufficient, sufficient and necessary information granules are addressed carefully. Algorithm of the transformation is constructed, by which we can provide an efficient approach to the conversion among information granules. To interpret and help understand the theories and algorithm, an experimental computing program is designed and two cases is employed as case study. Results of the small scale case are calculated by the method presented in this paper. The large-scale case is calculated by the experimental computing program and validated by the proposed algorithm. The considered framework can provide a novel convenient tool for artificial intelligence researches.     

认知无线电下行链路中的频谱共享算法

该文提出了一种适用于下行认知无线电系统的频谱共享算法,在保证对授权用户的干扰低于限制和总发射功率受限的条件下最大化系统总容量。分析了对授权用户的干扰并给出设置干扰限制的方法,在此基础上分两步实现总容量的最大化：先通过最大信道信干噪比原则实现最优的子载波分配;然后利用提出的双注水方法计算最优的功率分配。仿真结果表明,相比传统的频谱共享算法,该算法可以获得显著的系统容量增益。     

基于功率谱分段对消频谱感知算法研究及性能分析

在实用的认知无线电系统中,频谱感知技术必须具备在噪声电平高动态变化和无线信道严重衰落电磁背景下,进行实时盲频谱感知的能力,这为经典的频谱感知算法带来巨大的挑战。该文提出的功率谱分段对消频谱感知算法,依据傅里叶变换的渐进正态性和相互独立性,计算出功率谱的统计特性,利用监测频带内部分谱线强度和与全部谱线强度和的比值作为检验统计量进行信号存在性的判断。该文推导了算法的虚警概率和不同信道模型下正确检测概率的数学表达式,并依据Neyman-Pearson准则得到判决门限的闭式表达式。理论分析和仿真结果均表明：功率谱分段对消频谱感知算法对噪声不确定度具有鲁棒性;固定信噪比,算法的频谱感知性能不受噪声电平改变的影响;应用于高斯白噪声和平坦慢衰落信道中,可在较宽的信噪比范围内获得较优越的频谱感知性能;算法计算复杂度低,可在微秒级时长内完成频谱感知。     

认知Ad hoc网络中基于市场的三级频谱分配方案

分簇是Ad hoc网络规模较大时采用的主要结构,而频谱分配是Ad hoc网络的关键技术之一。该文针对认知无线电环境的分簇Ad hoc网络,提出了一种新的基于市场的频谱分配方案,该方案中簇首节点依据业务比例从频谱管理中心购买频谱,簇内采用基于供需市场理论的频谱分配算法。分析了簇内频谱市场的两种迭代定价算法额外需求迭代算法和连续松弛迭代算法以及簇首需求订购的过程。该方案能实现各簇收益的最大化,簇首基于需求的频谱购买相对于等量购买进一步提高了频谱效用。仿真结果表明这种频谱分配方案能有效提高系统频谱效用,额外需求迭代算法和连续松弛迭代算法均表现出良好的收敛性能。     

认知无线电系统中协同能量检测算法的性能研究

该文首先研究了单认知用户能量检测算法的检测性能和检测灵敏度与检测时长和噪声短时间内平均功率波动性之间的关系,得出检测性能和检测灵敏度随噪声短时间内平均功率波动性的增大而急剧下降的结论,在低信噪比时尤为明显;针对检测性能和检测灵敏度随噪声短时间内平均功率波动性的增大而急剧下降,提出了基于多用户协同能量检测算法。仿真表明,在低信噪比环境下,即使噪声短时间内的平均功率存在较大的波动性,只要适当地增加协同检测的用户数,仍可获得较为准确的检测性能。