Study On Target Data Fusion Recognition Of Multi-screen Test System

Multi-screen test system is a kind of device which can be used to measure target parameters in the field.Because of complex and changeable environment,Multi-screen test system is easy to be disturbed by harsh environmental factors in the process of using(Factors such as the mutation of sandstorm,mosquitoes and light conditions),the detection screen output signal contains many interference signals, which leads to the target parameters error,Multi-screen test system is very difficult to be in normal working condition, and the working performance and reliability also decreased.In order to improve the anti-interference performance of Multi-screen test system,in this paper, the output signal of detection screen is analyzed directly,and study on target signal recognition and data fusion algorithm,which combined with space structure of detection screen.In this paper, based on Multi-screen test system, firstly,the target signal is modeled and analyzed according to spatial structure characteristics of detection screen. Secondly,the principle of the detection screen is briefly introduced,and a reliable signal conditioning circuit is designed,and output signal of detection screen is processed.Then, the target signal is accurately identified by the threshold method.Using the method of data fusion,target signal is accurately identified under interference.The signal containing interference is acquired,according to the defined target signal correlation area, target signal is selected in four units detection screen to detect the combination of signal, and the clutter signal other than the correlation condition is excluded,and the probability of target signal correlation is also given,target signal is accurately identified under clutter interference, through experimental method, target data fusion method of Multi-screen test system is verified,at the same time, one side of the two targets is taken as the interference target, and the real target signal is accurately recognized by target data fusion method,the feasibility of the method is verified.