Cognitive radar detection device based on neural network

Abstract

The invention relates to a cognitive radar detection device based on a neural network, whose main structure comprises a chassis, a liquid crystal display, indicator lamps, a power supply switch, reset switches, signal transmitting adjustment and control devices, signal receiving adjustment and control devices, a transmitting antenna, a receiving antenna, a circuit board, a direct current power supply and a circuit board circuit. Aiming at limitation of the traditional radar, the cognitive radar detection device uses the advantages of the neural network, information processing is performed on signals of the transmitting antenna and the receiving antenna, the neural network consists of nerve cells with nonlinear mapping functions, and information of the neural network is stored in a continuous weight coefficient by weight coefficient connection, so that the network has very high fault tolerance; information loss is reduced; self-organizing and the adaptivity of the neural network are high; the recognition capability is improved; the neural network, digital signal processing, and digital information collection, receiving and processing are accomplished by a computer program, so that informatization, programming and automation of the device are achieved; and as a very ideal cognitive radar detection device based on the neural network, the device is advanced in design, compact in structure and accurate in measurement data, and can be widely applied to various industrial detection fields.

Description

technical field [0001] The invention relates to a neural network-based cognitive radar detection device, which belongs to the technical field of design and manufacture of electronic measuring instruments. Background technique [0002] Traditional radar detection devices usually use fixed transmission signals, and improve detection performance through adaptive processing at the receiving end and design of filtering algorithms. Since the detection performance of radar largely depends on the transmitted waveform, in the face of increasingly complex electromagnetic environments , multi-target background, when the environment of the fixed transmission waveform changes, it is difficult to obtain the desired effect only by the adaptive signal processing at the receiving end; VLSI technology and modern digital technology have laid the foundation for the direct synthesis of digital frequency waveforms, such as Phased array radar is capable of beam pointing change and waveform agility...

AI Technical Summary

Problems solved by technology

[0002] Traditional radar detection devices usually use fixed transmission signals, and improve detection performance through adaptive processing at the receiving end and design of filtering algorithms. Since the detection performance of radar largely depends on the transmitted waveform, in the face of increasingly complex electromagnetic environments , multi-target background, when the environment of the fixed transmission waveform changes, it is difficult to obtain the desired effect only by the adaptive signal processing at the receiving end; VLSI technology and modern digital technology have laid the foundation for the direct synthesis of digital frequency waveforms, such as Phased array radar is capable of beam pointing change and waveform agility at the microsecond or hundreds of microsecond level, and has a high degree of self-adaptability and flexibility; at present, hardware technology has provided a good foundation for the self-adaptation of the radar system transmitter In this context, Simon Haykin of Canada once proposed a new system of intelligent radar system, that is, cognitive radar detection theory, which pointed out the intelligent development trend of radar in the future. However, the research on cognitive radar detection devices is still in its infancy. There are still many academic problems to be solved

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