Radar target track derivation system and method based on installed data information mining

Abstract

The invention belongs to the technical field of radar simulation, and discloses a system and method for intelligent data collection and automatic information generation based on Agent radar installation. The system adopted includes: a radar information generation server and an embedded acquisition device. One end is connected to several embedded acquisition devices through a LAN, each embedded acquisition device is connected to the installed radar through a LAN or RS485 network cable, RS232 network cable; the first end of the radar information generation server is connected to the radar through a LAN or RS485 network cable, RS232 network cable The simulation application system of the data output device is connected, and the embedded acquisition device is an acquisition Agent hardware architecture. The present invention can collect multiple installed radar data, realize radar installed data mining and radar target track data derivation; and can obtain optimal track true value and noise model and synthesize new radar simulation information; further expand Applicable scope of radar target track automatic generation technology.

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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