Choosing method for multi-point positioning location solution in complex scene environment

Abstract

The invention discloses a choosing method for a multi-point positioning location solution in the complex scene environment. The choosing method is mainly in charge of calculation of TDOA of a multi-point positioning system in the complex and actual scene environment to the target positioning location and the self-inspection output function of the positioning location. According to the main principle, follow-up processing and choosing operation are conducted on a positioning result by judging whether a chan's multi-point positioning algorithm two-step location estimation residual error sample conforms to probability distribution in the normal noise level or not; if yes, the current positioning result is directly output; if not, all the station points are removed sequentially, other m-1 station points are reserved, and positioning is conducted m times; a positioning combination with the maximum occurrence probability of the two-step location estimation residual error sample is selected; if the probability meets the preset threshold, a corresponding positioning solution is output; if the probability does not meet the preset threshold, the solution is removed. According to the choosing method for the multi-point positioning location solution in the complex scene environment, correlation of two location estimation values is taken into account, the calculation quantity is small, no other prior information is needed, universalization and simplification are facilitated, and the requirement of multi-point positioning engineering application in the complex scene environment can be met.

Description

technical field [0001] The invention relates to the technical field of multi-point positioning in the field of civil aviation, in particular to a method for selecting position solutions of multi-point positioning on a scene in a complex environment. Background technique [0002] Compared with the traditional primary and secondary radar, the multipoint positioning system based on the time difference of arrival (TDOA) positioning principle has the advantages of high positioning accuracy, low cost and easy installation. It is an advanced surface movement guidance and control system proposed by the International Civil Aviation Organization (ICAO). (Advanced Surface Movement Guidance and Control Systems, A-SMGCS) core technology. In recent years, with the rapid growth of aviation traffic and security requirements, this technology will become the preferred solution for air traffic control surveillance at busy airports in the near future. [0003] Since Chan's multi-point position...

AI Technical Summary

Problems solved by technology

[0004] The first challenge, since the positioning solution has no prior information about the target on the ground or in the air before the calculation, when the aircraft target in the air around the airport is output by two-dimensional solution, due to its own poor GDOP (that is, it is located in the site layout Periphery) and algorithm model mismatch, resulting in two situations in the output positioning solution: 1. Intermittent point traces with large positioning errors are formed on the periphery of the airport (that is, non-surveillance areas); 2. False target pairs are formed on the scene. Air traffic surveillance caused serious disruption

[0005] For the first case of the first challenge, the existing method can reverse calculate the GDOP according to the output position results, and exclude the peripheral targets of the airport by setting the GDOP threshold, but this single method cannot effectively solve the second problem of false targets. situation

[0006] The second challenge is that due to the complex facility environment around the airport and the intricate and ever-changing positional relationship between the target and the target, and between the target and the remote site, it is inevitable that the line-of-sight between the target and the site will be blocked, resulting in a large error in TDOA detection

[0007] For the second challenge, the existing literature proposes to identify the disturbed detection site by comparing the TDOA residuals, but does not consider the correlation between the two compared TDOAs, so the model has theoretical flaws

In addition, this identification method only stays on the a priori premise that "the TDOA detection of a target in a certain scene is known to be interfered", but since there is no prior information of the target on the ground or in the air in the actual environment, if this method, it is difficult to combine it with practical engineering applications

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