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为提供高精确度的自动跟踪系统,巳经研制出各种光电信号处理技术。本文详细叙述电视区域相关(TVAC)的工作原理。这是一种光电目标跟踪的新技术。TVAC 由五个主要的分系统组成,即特征信息综合器、特征信息处理器、数字处理器、相关误差处理器和去相关器。特征信息综合器有两种——水平特征信息综合器与垂直特征信息综合器——用以产生表征视场内有意义区域中景物反差图型的模拟特征信息。采用由带通滤波器组成的信息处理器和数字转换器,产生代表每个特征信息综合器的模拟特征信息信息量的一系列数字脉冲。相关误差处理器的功用,是把每个特征信息综合器的真实数字特征信息,与存贮在固体移位寄存器存贮器中的相应基准特征信息进行对比,而给出俯仰与方位瞄准误差。在连续跟踪距离闭合和方位角发生变化时,真实特征信息与基准特征信息就变为去相关,因而必需产生一种新的基准特征信息,以保证精确跟踪。这就是去相关传感器的功能。本文将详细介绍这五种分系统。
To provide highly accurate automatic tracking systems, various optical signal processing techniques have been developed. This article describes in detail the working principle of TVAC. This is a new technology of photoelectric target tracking. TVAC consists of five major subsystems, namely feature information synthesizer, feature information processor, digital processor, correlation error processor and decorrelator. There are two kinds of feature information synthesizer - the horizontal feature information synthesizer and the vertical feature information synthesizer - to generate the simulation feature information that characterizes the scene contrast pattern in the meaningful area within the field of view. Using an information processor consisting of a band-pass filter and a digitizer, a series of digital pulses representative of the amount of analog feature information for each feature information synthesizer is generated. The function of the correlation error processor is to compare the actual digital signature information of each feature information synthesizer with the corresponding reference feature information stored in the memory of the solid shift register to give a pitch and azimuth aiming error. When the continuous tracking distance is closed and the azimuth changes, the real feature information and the reference feature information become irrelevant, so a new reference feature information must be generated to ensure accurate tracking. This is the function to go to the sensor. This article will detail these five subsystems.