Multi-magnetic target position detection method based on database feature matching

Abstract

The invention discloses a multi-magnetic target position detection method based on database feature matching. The method comprises the following steps: (1) calculating a magnetic field vector and a gradient tensor which are generated by randomly combining all magnetic beacons and then superposing at each measuring point position; (2) constructing a magnetic field vector index desk and a magnetic field gradient tensor index desk; (3) the carrier measures magnetic field vector and gradient tensor data on the flight path in real time; (4) calculating an actual measurement magnetic field vector matrix L2 norm value and an actual measurement magnetic field gradient tensor matrix L2 norm value according to the actual measurement magnetic field vector and the gradient tensor data; and directly performing matching positioning and confirmation optimization in the magnetic field vector index desk and the magnetic field gradient tensor index desk by using a dichotomy to obtain a final magnetic beacon combination situation, and determining the number of magnetic beacons and beacon position information corresponding to the magnetic beacon combination situation. According to the method, the defects that a traditional magnetic beacon positioning inversion technology only needs the known number of magnetic sources, and is high in dependence on measurement point distribution and high in noise sensitivity can be overcome.

Description

technical field [0001] The invention relates to magnetic target detection technology, in particular to a multi-magnetic target position detection method based on database feature matching. Background technique [0002] Magnetic target detection technology plays an important role in resource exploration, target detection and tracking, navigation and positioning, and medical engineering. However, there is a strong nonlinear relationship between the magnetic field characteristics generated by these targets and their own positions, which makes the position calculation based on the magnetic field characteristics more complicated. And when there are multiple magnetic targets in the relevant area, their magnetic fields will alias together. When the number of these magnetic targets is unknown, the problem is more complicated. [0003] When the distance between the measuring point and the magnetic source is greater than 2.5 times the maximum dimension of the magnetic source itself, ...

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Problems solved by technology

[0005] The purpose of the present invention is to provide a multi-magnetic target position detection method based on database feature matching for the problem of multi-magnetic target detection with known magnetic moments and unknown quantities. This method is simple in principle, efficient and accurate, and can make up for traditional magnetic beacons. Positioning inversion technology only needs to know the number of magnetic sources, and has the disadvantages of strong dependence on the distribution of measuring points and high noise sensitivity

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