Radar target track derivative system on the basis of information mining of real-equipment data and method thereof

Abstract

The present invention belongs to the field of the radar simulation technology, and discloses an intelligent acquisition and intelligence automatic generation system on the basis of Agent radar real-equipment data and a method thereof. The system provided by the invention comprises a radar intelligence generation server and embedded acquisition devices. The first end of the radar intelligence generation server is connected with a plurality of embedded acquisition devices through a local area network, and each embedded acquisition device is connected with a real-equipment radar through the local area network or a RS485 netting twine and a RS232 netting twine; and the first end of the radar intelligence generation server is connected with a simulation application system of a radar data output device through the local area network or the RS485 netting twine and the RS232 netting twine, and the embedded acquisition devices are acquisition Agent hardware architectures. According to the invention, a plurality of real-equipment radar data may be acquired to realize radar real-equipment data mining and derivation of radar target track data, obtain optimal track truth values and noise models and synthesize the optimal track truth values and noise models to be a new radar simulation intelligence, therefore the application scope of the automatic generation technology of radar target tracks is further developed.

Description

technical field [0001] The invention belongs to the field of radar simulation technology, and relates to a radar target track derivation system and method based on installed data information mining, that is, an agent-based radar installed data intelligent collection and information automatic generation system and method, suitable for radar intelligence simulation It can be used as the radar information source of the full digital simulation system and the hardware-in-the-loop simulation system when the fidelity is required to be very high. Background technique [0002] Radar intelligence simulation usually uses a "black box" for modeling and simulation. There are two methods: one is to generate white noise according to the nominal detection accuracy provided by the manufacturer, and then superimpose the white noise on the real simulation value. The method is simple, but the effect The other is to analyze and count the historical data to obtain the systematic error and standar...

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Problems solved by technology

[0002] Radar intelligence simulation usually uses a "black box" for modeling and simulation. There are two methods: one is to generate white noise according to the nominal detection accuracy provided by the manufacturer, and then superimpose the white noise on the real simulation value. The method is simple, but the effect The other is to analyze and count the historical data to obtain the systematic error and standard deviation, and then use the Gaussian white noise model for simulation and synthesis, but this method can only reflect the overall statistical law of the error, and cannot reflect the real error characteristics. Affects the fidelity of radar simulation

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