Error calibrating method for high dynamic, multivariate and asynchronous nonitoring system

Abstract

The invention discloses an error gauging method in the high-dynamic, multi-component, asynchronous monitoring system, which comprises the following steps: (1) gathering the same monitor data of n>1 group of the kth object from radar ground station and ADS-B ground station; (2) uniforming the radar referred polar coordinates system of radar station and ADS-B data referred Geodetic coordinate system; obtaining the real ECEF coordinate Xdt(k) of radar and object real ECEF coordinate Xat (k) based on ADS-B; (3) calculating system error of Xat(k) and Xdt(k) under the same coordinate ECEF; (4) gauging the error of the system based on calculated synthetic system. The invention realizes error gauging of two types of isomeric monitor data of ADS-B and radar, which improves the error gauging efficiency to reduce the approximate error due to synchronous time difference.

Description

Technical field [0001] The invention relates to an error calibration method of a monitoring system, in particular to an error calibration method of a highly dynamic, multivariate, asynchronous monitoring system, which belongs to the field of air traffic control. Background technique [0002] The fundamental purpose of air traffic control is to make the aircraft on the route fly in the airspace in a safe, effective and planned manner. The controller needs to monitor the flight dynamics of the aircraft in the controlled airspace in real time. [0003] Traditional radar surveillance methods use inquiry and response methods to detect targets. In the long run, the radar system itself has many limitations, which limit the improvement of surveillance performance. The linear propagation of the radar beam forms a large number of radar blind spots, which cannot cover areas such as oceans and deserts; the rotation period of the radar limits the increase in the data update rate, thereby limi...

AI Technical Summary

Problems solved by technology

The reference coordinate systems of the two are different, so the error calibration cannot be performed directly. The existing method is to convert the two different coordinate systems referenced by ADS-C and the radar system into the same coordinate system, and then calculate the system error uniformly in this coordinate system , this method meets certain error calibration requirements, but it does not consider the time calibration problem, it is based on the assumption that each collection point is the same

Based on the above analysis, the current method cannot be applied to the error calibration of high dynamic, multivariate and asynchronous surveillance systems in practice

[0012] Due to the particularity of the highly dynamic ADS-B data, the methods of multi-radar system error calibration and radar and ADS-C system error calibration cannot be directly used for the calibration of radar and ADS-B system errors

Images