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ECEF-GLS system error self-adaptive registration method based on real-time quality control

An ECEF-GLS, system error technology, applied in radio wave measurement systems, instruments, etc., can solve the problems of system error, complexity, inaccurate system error correction model, etc., to extend time and coverage, improve effect and performance, The effect of improving the accuracy and the correct rate of track association

Pending Publication Date: 2017-02-22
NAVAL AERONAUTICAL & ASTRONAUTICAL UNIV PLA
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Problems solved by technology

[0002] The huge benefits that radar networking can bring have been recognized by countries all over the world. However, in the practical application of multi-radar networking tracking systems, due to the existence of system errors, the correlation and fusion of different radar tracking tracks will fail, resulting in the failure of the same target. Generate multiple tracks, creating ambiguity
System error is currently one of the main factors restricting the improvement of target tracking accuracy. Traditional system error estimation technology believes that system error is complex, slow-changing, and non-random. It can be regarded as unknown in a relatively long period of time. The estimation of the system error is mostly based on the physical mechanism of equipment measurement to construct a certain system error estimation model, which is corrected in the data preprocessing stage. Such a system error correction model is often inaccurate, resulting in a large residual system error and affecting Multi-target tracking and prediction accuracy; how to make full use of target motion prior information and measurement information, and design a system error real-time detection and registration method is not only the key to achieving high-precision real-time tracking of targets, but also a must for effective fusion of radar information in the system Difficult problems to be solved

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  • ECEF-GLS system error self-adaptive registration method based on real-time quality control
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  • ECEF-GLS system error self-adaptive registration method based on real-time quality control

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Embodiment Construction

[0007] The specific implementation mode of the present invention divides the following several steps:

[0008] (1) In the Earth Centered Earth Fixed coordinate (ECEF) system error estimation using the Generalized Least Square (GLS) algorithm requires the use of data from two radars. Here, the two radars The change of the system error before and after time is modeled by the state equation as:

[0009] β(k+1)=F(k)β(k) (1)

[0010] Wherein: F(k) is a unit matrix of 6×6, β(k)=[Δr A ,Δθ A ,Δη A ,Δr B ,Δθ B ,Δη B ]' is the column vector formed by the system errors of the two radars at time k;

[0011] (2) Convert the target position at time k obtained by the two radars in the local coordinate system to the ECEF coordinate system,

[0012]

[0013]

[0014] Among them: (x As ,y As ,z As ) and (x Bs ,y Bs ,z Bs ) are the coordinate positions of radars A and B in ECEF coordinates respectively, (x′ Al (k),y' Al (k),z' Al (k)) and (x' Bl (k),y' Bl (k),z' Bl (k))...

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Abstract

The invention discloses an ECEF-GLS system error self-adaptive registration method based on real-time quality control, and belongs to the technical field of system error registration. A system error is one of main factors which restrict target tracking precision and improvement of different radar track association and fusion currently. To self-adaptively estimate and eliminate the system error which exists in the system at the time of target tracking, the system error to be estimated is regarded as a state vector, a state transition equation among system error estimation in a previous time and a later time is obtained, in this way, a system error self-adaptive estimation measurement equation is obtained from measurement data by utilizing the ECEF-GLS algorithm, and a system error self-adaptive estimation filter equation is established, quality control is conducted on the estimated system error through a filter technology, convergence speed of a system error self-adaptive estimation is expedited by utilizing an iterative loop, multi-target tracking precision and track association accuracy are improved through self-adaptive removal of the system error to improve system performance.

Description

technical field [0001] The invention belongs to the technical field of system error registration, and is suitable for systems that need to perform system error registration while tracking multiple targets. Background technique [0002] The huge benefits that radar networking can bring have been recognized by countries all over the world. However, in the practical application of multi-radar networking tracking systems, due to the existence of system errors, the correlation and fusion of different radar tracking tracks will fail, resulting in the failure of the same target. Multiple tracks are generated, creating ambiguity. System error is currently one of the main factors restricting the improvement of target tracking accuracy. Traditional system error estimation technology believes that system error is complex, slow-changing, and non-random. It can be regarded as unknown in a relatively long period of time. The estimation of the system error is mostly based on the physical ...

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Application Information

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IPC IPC(8): G01S7/40
CPCG01S7/40
Inventor 修建娟何友董凯王聪董云龙周伟
Owner NAVAL AERONAUTICAL & ASTRONAUTICAL UNIV PLA
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