Complex environment adaptive active radar system based on big data analysis technology

Abstract

The invention discloses a complex environment adaptive active radar system based on a big data analysis technology, which comprises a radar system front-end module, an information integration controlmodule, a depth learner module, an auxiliary parameter extraction module and a data center module, wherein the radar system front-end module receives a waveform instruction sent by the information integration control module, a radar transmitting signal is generated, a radar echo signal is then received, and a radar image is formed; the depth learner module receives the radar image, the radar imageis subjected to target recognition, and target recognition result information is obtained; the auxiliary parameter extraction module obtains target parameters according to the radar image; and the data center module is used for integrating online network information and priori information for storing a typical target environment. While requirements on the prior knowledge of the target and the target environment are reduced, the detection and tracking performance of the radar system towards a weak target in a complicated environment can be effectively improved.

Description

technical field [0001] The invention relates to an active radar system, in particular to a complex environment adaptive active radar system based on big data analysis technology. Background technique [0002] With the wide application of wireless devices and the gradual increase of radar target types, radar system design not only needs to start from the radar working system, low thermal noise hardware design and weak signal processing algorithms, but also needs to address the diversity and dynamic variability of the application environment. Adaptive design is carried out to avoid sharp degradation of radar system performance in complex environments. It can be seen that the ability to adapt to complex environments is one of the key indicators for measuring the intelligence of radar systems. [0003] The backscattering characteristics of radar targets in complex environments are diverse, while traditional radar systems usually adopt an open-loop architecture, and the transmis...

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Problems solved by technology

[0006] The purpose of the present invention is to provide a complex environment adaptive active radar system based on big data analysis technology, which uses a deep learning algorithm to extract the multi-level characteristics of the target and the corresponding target environment from the radar sample data, and solves the problem of the emission waveform of the existing radar system. The low detection rate of weak targets in complex environments caused by the low correlation with the target structure and environmental features, the large workload caused by manual design of target features during target recognition, and the excessive reliance on manual design experience in target feature design Low adaptability in different target environments, so as to reduce the requirements for prior knowledge of targets and target environments, and effectively improve the detection and tracking performance of radar systems for weak targets in complex environments

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