基于CS-BPNN算法的飞机客舱PMV指标预测

针对飞机客舱热舒适度评价指标预测平均投票数(PMV)的各影响因素之间存在复杂的非线性和迭代求解关系问题,采用经布谷鸟搜索(CS)算法优化的BPNN来预测客舱PMV指标。通过对PMV模型参数分析,选出PMV主要影响因素作为预测模型的输入,利用CS算法的全局优化能力来解决BPNN易陷入局部最优及其收敛速度慢的问题,并对其初始阈值和权值进行优化。仿真结果表明,与GA-BPNN和PSO-BPNN相比,CS-BPNN预测模型具有较小的预测误差和良好的预测精度。所提方法在客舱PMV指标的预测中有较好的应用前景。     

自适应映射广义空移健控调制(英文)

Generalized Space Shift Keying (GSSK) modulation is a low-complexity spatial multiplexing technique for multiple-antenna wireless systems. However, effective transmit antenna combinations have to be preselected, and there exist redundant antenna combinations which are not used in GSSK. In this paper, a novel adaptive mapping scheme for GSSK modulation, named as Adaptive Mapping Generalized Space Shift Keying (AMGSSK), is presented. Compared with GSSK, the antenna combinations are updated adaptively according to the Channel State Information (CSI) in the proposed AMGSSK system, and the performance of average Symbol Error Rate (SER) is reduced considerably. In the proposed scheme, two algorithms for selecting the optimum antenna combinations are described. The SER performance of AMGSSK is analyzed theoretically, and validated by Monte Carlo simulation. It is shown that the proposed AMGSSK scheme has good performance in SER and spectral efficiency.     

飞行区多协议异构网络互联方法研究

随着信息技术的发展与智慧民航建设的推进,机场飞行区物联网的作用日益重要。然而,受制于节点类型、传输需求与分步建设的限制,实际的机场飞行区物联网涵盖多种传输协议、多个子网。针对飞行区多协议异构重复覆盖网络的节点互联问题,首先基于环境特点与运行特点,提出基于互通传输站的节点跨协议互通策略;接着,针对互通传输站的转发策略,在给出传输模型与“先请求先发送”转发模式的基础上,结合飞行区数据交互特点,进一步提出了“重要数据优先”转发模式,通过牺牲部分低优先级数据的传输性能,以保障高优先级数据的传输;最后给出了相应的仿真。结果表明：基于互通传输站设备可以实现不同子网节点的互通,重要数据优先模式可有效改善高优先级数据的传输性能,本方案在环境类似的其他场景亦适用。