Cognitive radar information processing platform architecture based on big data characteristic matching technology

Abstract

The invention discloses a cognitive radar information processing platform architecture. Based on an existing cognitive radar system, an knowledge auxiliary co-processing system is added. The system ismainly used for prior knowledge caching and radar echo characteristic parameter extraction, simultaneously is cooperated with a signal/data processing system to complete the realization of a knowledge auxiliary radar signal processing algorithm, and is a core component of a cognitive radar system. The architecture has advantages that the information processing platform architecture can satisfy acognitive radar information processing requirement and improve a radar anti-interference ability; through introducing a big data fast access module, a coprocessor, an open exchange structure and othermodules, the architecture can completely satisfy demands of a cognitive radar construction dynamic database, prior knowledge calling and other aspects; and simultaneously, system expansibility is increased, which is convenient for follow-up maintenance and upgrading.

Description

technical field [0001] The invention relates to the technical field of radar data processing, in particular to a cognitive radar information processing platform architecture based on big data feature matching technology. Background technique [0002] Radar is a remote sensing system widely used in search, tracking and imaging. The traditional radar adopts a fixed transmission method, only transmitting a fixed waveform, and adopts an adaptive signal processing algorithm at the receiving end to improve the tracking performance. The measurement and resolution of the radar Indicators such as the rate of transmission largely depend on the parameters of the transmitted waveform. When the environment changes, it is difficult to achieve the ideal tracking effect only by using adaptive filtering, and the traditional radar signal processing platform is limited by the traditional radar working mode, and its signal processing flow It is a pipeline structure, does not involve related sub...

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Problems solved by technology

[0002]Radar is a remote sensing system widely used in search, tracking and imaging. Traditional radar adopts a fixed transmission mode, only transmitting a fixed waveform, and adopts an automatic Adapting to the signal processing algorithm improves the tracking performance, while the measurement and resolution of the radar largely depend on the transmitted waveform parameters. When the environment changes, it is difficult to achieve the ideal tracking effect only by using adaptive filtering, and the traditional radar The signal processing platform is limited by the traditional radar working mode, and its signal processing flow is a pipeline structure, which does not involve dynamic databases, knowledge-assisted coprocessors and other related subsystems, and lacks feedback to the transmitter

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