Research On The Methods Of Airplane Recognition Based On Active And Passive Features

Because the convention air defense radar influences by its inherent performance, its airplane goal automatic sorting and the recognition always is very difficulty in the target identification research area. At present, massive convention air defense radars are equiped in domestic, if obtaining the breakthrough in the convention air defense radar's target identification will have the significant military and the economical significance. This article, through analysis different system radar's superiority and limitation in target identification, proposes to unite the convention air defense radar's echo characteristic and the electronic support sensory system's aircraft-borne radiant characteristic, structure reasonable recognition system. It can satisfie the airplane target identification demand under the different background. In the modern battlefield, with the electronic countermeasures widely used, the information provided by the sensors is not precise, unreliable. How can manifest the sensor's confidence level really is extremely important in insuring the system's validity and reliability. In the aspect of information fusion, how can unite intelligent technologys for example fuzzy logic, neural network, expert system is also an important development direction. In this article, the prime task is the reasarch of extraction airplane's periodic signature of modulation, the approximate entropy, the norm entropy, obtaining the sensor confidence level as well as structuring realization target identification intellectualized type fusion model and the algorithm.Because the airplane revolving part can make the radar electromagnetic wave have the cyclical modulation feature, therefore the convention air defense radar selecting the cyclical modulation feature is quite effective in distinguishing the airplane. This paper studies the helicopter, the propeller-driven aircraft and the turbofan jet airplane echo modulating feature parameter model and analyses the echo signal feature. It gains the target echo's the cyclical modulation feature by using the complex AR frequency range bispectrum slice.Because traditional method in extraction airborne radar's radiant signal feature time has certain insufficiency, this paper proposes the approximate entropy and the norm entropy as the passive feature parameter in the airplane...