基于空间谱估计算法中的经典算法——多重信号分类(Multiple Signal Classification,M USIC)算法建立的测向系统,在介绍SystemVue软件的基础上,首次开展了其在SystemVue软件上的系统仿真设计,包括信源的产生、窄带远场阵列信号生成、信...基于空间谱估计算法中的经典算法——多重信号分类(Multiple Signal Classification,M USIC)算法建立的测向系统,在介绍SystemVue软件的基础上,首次开展了其在SystemVue软件上的系统仿真设计,包括信源的产生、窄带远场阵列信号生成、信号接收和处理以及数据处理等。仿真设计与结果表明,S ystemVue软件具有界面友好、依靠图符模块构建电子系统、直观清晰地显示信号在系统中的运行情况和电路的特性、在分析窗口能够动态实时地呈现信号的运行情况等特点,具有较强的针对性和专业性,在电子系统仿真领域将具有广阔的应用前景。展开更多
The two-station positioning system based on time difference and azimuth measurement has measurement redundancy. Therefore, not only can a positioning solution which is completely independent of the baseline length bet...The two-station positioning system based on time difference and azimuth measurement has measurement redundancy. Therefore, not only can a positioning solution which is completely independent of the baseline length between two stations be derived, but also the baseline length can be solved as an unknown quantity. These findings not only enhance the performance of the two-station positioning system, but also provide a design basis for the construction of a self-organizing dynamic intelligent positioning system.展开更多
文摘基于空间谱估计算法中的经典算法——多重信号分类(Multiple Signal Classification,M USIC)算法建立的测向系统,在介绍SystemVue软件的基础上,首次开展了其在SystemVue软件上的系统仿真设计,包括信源的产生、窄带远场阵列信号生成、信号接收和处理以及数据处理等。仿真设计与结果表明,S ystemVue软件具有界面友好、依靠图符模块构建电子系统、直观清晰地显示信号在系统中的运行情况和电路的特性、在分析窗口能够动态实时地呈现信号的运行情况等特点,具有较强的针对性和专业性,在电子系统仿真领域将具有广阔的应用前景。
文摘The two-station positioning system based on time difference and azimuth measurement has measurement redundancy. Therefore, not only can a positioning solution which is completely independent of the baseline length between two stations be derived, but also the baseline length can be solved as an unknown quantity. These findings not only enhance the performance of the two-station positioning system, but also provide a design basis for the construction of a self-organizing dynamic intelligent positioning system.
