Recognition of Air and Ground Objects by Ir Electron-Optical Complex Real-Time

Abstract

The high probability of recognition aircraft against the background of the sky and ground objects against the background of the underlying surface in real-time, as well as the high-precision definition of their spatial position in conditions of significant interference are an important area of application of IR electronic-optical systems [1].A complex that recognizes identifies and determines the spatial position of ground and aerodynamic objects, including small unmanned aerial vehicles, which monitor the underlying surface [2]. The complex features high speed and work in artificial and natural interference. The main elements of the complex are an optical channel, laser emitters and an actuator. The development of algorithms for the functioning of the complex, as well as circuit solutions, which will allow you to perform the tasks in the relevant modern level requirements, have been carried out.The complex includes the developed electronic-optical (laser) transducers of the infrared range, which form the probing pulses in the direction of the object under study, the detector of the maximum truthfulness of the target recognition with unknown range, speed and acceleration that, according to the specified algorithms, give the control command to the actuator [3]. The algorithms for making a decision on detecting and recognizing objects on the background of interference signals during sensing by a sequence of laser pulses, in which the criteria for the likelihood and artificial intelligence, are used. The main difficulty is to determine the set of signs of the reflected signal, according to which the object is recognition and the assessment of the parameters of ground and aerodynamic purposes. The space-time processing of signals is carried out, taking into account the specifics of the optical location information systems.An increase in the likelihood of target detection is achieved by using the principle of mutual compensation of spatially related active interference and optimizing the process of processing received information. Algorithmic methods have been developed to increase the recognition accuracy and reliability of the obtained results due to the use of measuring information obtained from the multi-element photodetector and the synthesis of algorithms with elements of artificial intelligence. To determine the object parameters on which recognition is performed, amplitude and phase spectra of reflected signals are used as signs.