In this study,we choose the street green space in Bayi District,Mainling Town of Mainling County and Zhamu Town of Bomê County in Nyingchi City as investigation sites.In each investigation site,we select the unda...In this study,we choose the street green space in Bayi District,Mainling Town of Mainling County and Zhamu Town of Bomê County in Nyingchi City as investigation sites.In each investigation site,we select the undamaged plant communities of moderate density as objects of investigation and record,and establish the investigation database.Based on the habitat records and natural ecological conditions,we analyze the growth adaptability of Ligustrum L.plants in Southeast Tibet and the key influencing factors.It is found that the Ligustrum L.plants introduced in Southeast Tibet mainly include Ligustrum lucidum Ait.,Ligustrum quihoui Carr.and Ligustrum vicaryi.The growth adaptability of Ligustrum lucidum Ait.plants is divided into high level,middle level and low level.According to the investigation results,the frequency of Ligustrum lucidum Ait.plants with good growth status is greater than 65%.In general,the plants are fond of light,and have certain tolerance to cold.They can be cultivated in open field and show good growth adaptability in Southeast Tibet,so these plants can be further applied.展开更多
L波段数字航空通信系统(L band digital aeronautical communication system,LDACS)是未来航空宽带通信重要的基础设施之一,针对LDACS信号容易受到相邻波道大功率测距仪(distance measuring equipment,DME)信号干扰的问题,提出了联合正...L波段数字航空通信系统(L band digital aeronautical communication system,LDACS)是未来航空宽带通信重要的基础设施之一,针对LDACS信号容易受到相邻波道大功率测距仪(distance measuring equipment,DME)信号干扰的问题,提出了联合正交投影干扰抑制与单快拍稀疏分解的波达方向(direction of arrival,DOA)估计方法。通过子空间投影抑制DME干扰,然后使用单快拍数据构建伪协方差矩阵,对伪协方差矩阵求高阶幂,之后进行奇异值分解,并利用约束条件求解稀疏解得到期望信号来向的估计值。所提方法使用高阶伪协方差矩阵降低了噪声影响,仅用单快拍就可以准确估计LDACS信号的入射方向。仿真结果表明,改进单快拍高级幂(improved single snapshot high order power,ISS-HOP)L1-SVD算法的估计精度优于ISS-HOP-MUSIC算法。该方法可以有效抑制DME干扰,提高OFDM接收机性能。展开更多
针对L波段数字航空通信系统(L-band digital aeronautic communication system,LDACS)可用频谱资源有限且易受大功率测距仪(distance measuring equipment,DME)信号干扰的问题,提出一种基于降维循环谱和残差神经网络的频谱感知方法。首...针对L波段数字航空通信系统(L-band digital aeronautic communication system,LDACS)可用频谱资源有限且易受大功率测距仪(distance measuring equipment,DME)信号干扰的问题,提出一种基于降维循环谱和残差神经网络的频谱感知方法。首先理论推导分析了DME信号的循环谱特征;然后利用Fisher判别率(Fisher discriminant rate,FDR)提取循环频率能量最大的向量,通过主成分分析(principal component analysis,PCA)进行预处理特征增强;最后给出数据处理后的循环谱向量与卷积神经网络相结合的实现过程,实现了DME信号的有效检测。仿真结果表明,该方法对噪声不敏感,当信噪比不低于-15 dB时,平均检测概率大于90%。当信噪比不低于-14 dB,检测概率接近100%。展开更多
基金Supported by Natural Science Foundation of Tibet Autonomous Region(2016-ZR-15-42)
文摘In this study,we choose the street green space in Bayi District,Mainling Town of Mainling County and Zhamu Town of Bomê County in Nyingchi City as investigation sites.In each investigation site,we select the undamaged plant communities of moderate density as objects of investigation and record,and establish the investigation database.Based on the habitat records and natural ecological conditions,we analyze the growth adaptability of Ligustrum L.plants in Southeast Tibet and the key influencing factors.It is found that the Ligustrum L.plants introduced in Southeast Tibet mainly include Ligustrum lucidum Ait.,Ligustrum quihoui Carr.and Ligustrum vicaryi.The growth adaptability of Ligustrum lucidum Ait.plants is divided into high level,middle level and low level.According to the investigation results,the frequency of Ligustrum lucidum Ait.plants with good growth status is greater than 65%.In general,the plants are fond of light,and have certain tolerance to cold.They can be cultivated in open field and show good growth adaptability in Southeast Tibet,so these plants can be further applied.
文摘L波段数字航空通信系统(L band digital aeronautical communication system,LDACS)是未来航空宽带通信重要的基础设施之一,针对LDACS信号容易受到相邻波道大功率测距仪(distance measuring equipment,DME)信号干扰的问题,提出了联合正交投影干扰抑制与单快拍稀疏分解的波达方向(direction of arrival,DOA)估计方法。通过子空间投影抑制DME干扰,然后使用单快拍数据构建伪协方差矩阵,对伪协方差矩阵求高阶幂,之后进行奇异值分解,并利用约束条件求解稀疏解得到期望信号来向的估计值。所提方法使用高阶伪协方差矩阵降低了噪声影响,仅用单快拍就可以准确估计LDACS信号的入射方向。仿真结果表明,改进单快拍高级幂(improved single snapshot high order power,ISS-HOP)L1-SVD算法的估计精度优于ISS-HOP-MUSIC算法。该方法可以有效抑制DME干扰,提高OFDM接收机性能。