We consider the problem of trying to send a single classical bit through an amplitude-damping channel when two transmissions through the channel are available as a resource. It is demonstrated that two entangled trans...We consider the problem of trying to send a single classical bit through an amplitude-damping channel when two transmissions through the channel are available as a resource. It is demonstrated that two entangled transmissions can enhance the receiver＇s capability of making a correct inference under certain conditions compared with two product-state transmissions.展开更多
The problem of sending a single classical bit through a generalized amplitude damping channel is considered. When two transmissions through the channel arc available as a resource, we find that two entangled transmiss...The problem of sending a single classical bit through a generalized amplitude damping channel is considered. When two transmissions through the channel arc available as a resource, we find that two entangled transmissions can enhance the capability of receiver＇s judging information correctly under certain conditions compared with two productstate transmissions. In addition, we find a special case in which the two entangled transmissions can always make a classical bit more effectively disable the noise influence.展开更多
无人机协同目标感知技术是有人机无人机混合运行的重要安全保障.针对复杂空域环境下的感知可靠性问题,分析大中型无人机的复杂融合空域运行场景,并确定无人机协同目标感知的精准性、高实时性、抗干扰性和低载荷性等需求,提出一种四单元...无人机协同目标感知技术是有人机无人机混合运行的重要安全保障.针对复杂空域环境下的感知可靠性问题,分析大中型无人机的复杂融合空域运行场景,并确定无人机协同目标感知的精准性、高实时性、抗干扰性和低载荷性等需求,提出一种四单元阵列天线和数字化射频体制的无人机协同目标感知系统架构;同时,结合空管雷达信号特性和天线体制,设计方位感知算法,通过修正协方差矩阵、信号子空间加权和噪声子空间加权等方法,设计基于多信号分类(multiple signal classification,MUSIC)的空间谱估计算法,并提出基于子空间分解的幅相误差在线估计算法;最后,开展算法仿真试验和实际空域环境飞行试验.研究结果表明:相比传统MUSIC算法,优化算法的方位感知高分辨性能提升23.3%,并改善了无人机协同目标方位感知的高实时性、抗干扰性和低载荷性.展开更多
在实际测向系统中,当弱信号和强干扰空间临近时,空间谱测向系统仅能对强干扰进行波达方向(Direction of Arrival,DOA)估计,弱信号DOA估计性能下降甚至失效。针对这一问题,研究了空间谱扩展噪声子空间算法结合通道幅相误差校正,在强干扰...在实际测向系统中,当弱信号和强干扰空间临近时,空间谱测向系统仅能对强干扰进行波达方向(Direction of Arrival,DOA)估计,弱信号DOA估计性能下降甚至失效。针对这一问题,研究了空间谱扩展噪声子空间算法结合通道幅相误差校正,在强干扰抑制条件下对弱信号进行DOA估计的方法。该方法对采样信号的噪声协方差进行去加权处理,并对空间谱扩展噪声子空间算法的空间谱导向矢量进行修正。基于通用软件无线电外设(Universal SoftwareRadioPeripheral,USRP)和印刷偶极子线形天线阵构建实验平台,实验结果证明空间谱扩展噪声子空间算法结合改进的通道幅相误差校正方法,能对临近干扰源进行空间谱抑制的同时,实现对弱信号的DOA估计。展开更多
在实际测向系统中,空间谱测向天线阵通道误差校正时,校正系数也对接收通道噪声进行加权,在较低信噪比和临近强干扰抑制时,将导致天线阵列波达方向(Direction of Arrival,DOA)估计性能下降甚至失效。因此,结合阵列互耦导致天线有源方向...在实际测向系统中,空间谱测向天线阵通道误差校正时,校正系数也对接收通道噪声进行加权,在较低信噪比和临近强干扰抑制时,将导致天线阵列波达方向(Direction of Arrival,DOA)估计性能下降甚至失效。因此,结合阵列互耦导致天线有源方向图发生畸变的实际情况,在单辅助源通道误差估计基础上,提出改进的空间谱幅相误差校正算法。该算法在通道误差模型中引入天线有源方向图畸变系数,并对噪声协方差加权项进行处理,得到噪声去加权的阵列接收数据协方差矩阵,并在谱峰搜索时修正导向矢量,实现幅相误差校正和空间谱测向。将所提校正算法应用于相干信号测向和临近强干扰空间谱抑制,改善了通道误差条件下的空间谱测向,计算机仿真结果证明所提算法的可行性。展开更多
基金Project supported by the National Natural Science Foundation of China （Grant No 10374025）, and the Natural Science Foundation of Hunan Normal University （Grant No 22040640）.
文摘We consider the problem of trying to send a single classical bit through an amplitude-damping channel when two transmissions through the channel are available as a resource. It is demonstrated that two entangled transmissions can enhance the receiver＇s capability of making a correct inference under certain conditions compared with two product-state transmissions.
基金Project supported by the National Natural Science Foundation of China （Grant No 10374025）, the Natural Science Foundation of Hunan Normal University （Grant No 22040640） and the Natural Science Foundation of Hunan Province （Grant No 03jjy3012）.
文摘The problem of sending a single classical bit through a generalized amplitude damping channel is considered. When two transmissions through the channel arc available as a resource, we find that two entangled transmissions can enhance the capability of receiver＇s judging information correctly under certain conditions compared with two productstate transmissions. In addition, we find a special case in which the two entangled transmissions can always make a classical bit more effectively disable the noise influence.
文摘无人机协同目标感知技术是有人机无人机混合运行的重要安全保障.针对复杂空域环境下的感知可靠性问题,分析大中型无人机的复杂融合空域运行场景,并确定无人机协同目标感知的精准性、高实时性、抗干扰性和低载荷性等需求,提出一种四单元阵列天线和数字化射频体制的无人机协同目标感知系统架构;同时,结合空管雷达信号特性和天线体制,设计方位感知算法,通过修正协方差矩阵、信号子空间加权和噪声子空间加权等方法,设计基于多信号分类(multiple signal classification,MUSIC)的空间谱估计算法,并提出基于子空间分解的幅相误差在线估计算法;最后,开展算法仿真试验和实际空域环境飞行试验.研究结果表明:相比传统MUSIC算法,优化算法的方位感知高分辨性能提升23.3%,并改善了无人机协同目标方位感知的高实时性、抗干扰性和低载荷性.
文摘在实际测向系统中,当弱信号和强干扰空间临近时,空间谱测向系统仅能对强干扰进行波达方向(Direction of Arrival,DOA)估计,弱信号DOA估计性能下降甚至失效。针对这一问题,研究了空间谱扩展噪声子空间算法结合通道幅相误差校正,在强干扰抑制条件下对弱信号进行DOA估计的方法。该方法对采样信号的噪声协方差进行去加权处理,并对空间谱扩展噪声子空间算法的空间谱导向矢量进行修正。基于通用软件无线电外设(Universal SoftwareRadioPeripheral,USRP)和印刷偶极子线形天线阵构建实验平台,实验结果证明空间谱扩展噪声子空间算法结合改进的通道幅相误差校正方法,能对临近干扰源进行空间谱抑制的同时,实现对弱信号的DOA估计。
文摘在实际测向系统中,空间谱测向天线阵通道误差校正时,校正系数也对接收通道噪声进行加权,在较低信噪比和临近强干扰抑制时,将导致天线阵列波达方向(Direction of Arrival,DOA)估计性能下降甚至失效。因此,结合阵列互耦导致天线有源方向图发生畸变的实际情况,在单辅助源通道误差估计基础上,提出改进的空间谱幅相误差校正算法。该算法在通道误差模型中引入天线有源方向图畸变系数,并对噪声协方差加权项进行处理,得到噪声去加权的阵列接收数据协方差矩阵,并在谱峰搜索时修正导向矢量,实现幅相误差校正和空间谱测向。将所提校正算法应用于相干信号测向和临近强干扰空间谱抑制,改善了通道误差条件下的空间谱测向,计算机仿真结果证明所提算法的可行性。
