Polynomial-curve-fitting-based optimization method and device for false alarm threshold of IFF system

Abstract

The invention discloses a polynomial-curve-fitting-based optimization method and device for a false alarm threshold of an IFF system. The method comprises: automatic recording and storage of identified target data within an airspace power range are carried out; data preprocessing is carried out; a polynomial model coefficient matrix is constructed; polynomial fitting solution is carried out; iteration with different fitting number of times and error analysis are carried out; a false alarm threshold curve is generated; sector inputting and integration of false alarm threshold curve are carriedout; and effect adjustment and comprehensive evaluation are carried out. According to the optimization method and device, false targets generated by environmental factors of positions can be suppressed effectively in real time; only a false alarm probability parameter value needs to be set during the whole process and no manual calculation is needed, so that the optimization efficiency is high; the operational requirements of quick identification and accurate positioning are met; and the manpower and material costs are lowered substantially.

Description

technical field [0001] The invention relates to the field of IFF data processing in western systems, in particular to a method and equipment for optimizing the false alarm threshold of an IFF system based on polynomial curve fitting. Background technique [0002] The Mark ⅫA IFF (Identification Friend or Foe) system is the latest generation of identification friend or foe system in the western system, and it is also one of the important means of military confrontation in the modern informationized battlefield. The "precise positioning and rapid identification" function of the identification friend or foe system greatly enhances the accuracy of combat command and the coordination among various combat units, significantly speeds up the system response speed, and reduces the probability of accidental injury. It is especially suitable for multi-arms joint operations. In the actual complex combat environment, the IFF IFF system is affected by the geographical environment, lightni...

AI Technical Summary

Problems solved by technology

This manual method is highly subjective, inefficient, inflexible, and unable to evaluate the decoding effect in advance. The validity and rationality of the original false alarm threshold can only be determined by observing and statistically analyzing the response data of a large number of targets. verification, and most of the optimization steps are complex and time-consuming, and the optimization process of the false alarm threshold needs to be adjusted repeatedly

Even if the radars of the same type are interfered by different complex geographical environments and electromagnetic environment factors due to different positions, the false alarm threshold needs to be regenerated and adjusted. A lot of time, manpower and material resources, and the optimization is inefficient

If it is in the combat preparation period, it will seriously affect the real-time operational requirements of the radar and delay the fighter plane.

Even if the radars of the same model are installed in different positions, the generation of the false alarm threshold and the optimization and adjustment of the effect require experienced engineers to debug again and again, and the optimization efficiency is low.

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