Passive magnetic detection specific target identification method based on discrete Meyer wavelets

Abstract

The invention discloses a passive magnetic detection specific target identification method based on discrete Meyer wavelets, and the method comprises the steps: processing a high-frequency noise signal through a low-pass filter circuit, and sampling an obtained digital magnetic signal; adopting a PCA algorithm to obtain an adaptive scale function, carrying out dimension reduction processing on magnetic signal data of a ferromagnetic armored target in a database to obtain k-dimensional data, obtaining the size of the corresponding scale function, and achieving fast discrete wavelet transformation of a Meyer wavelet multi-scale function; extracting different frequency band signal characteristics of the magnetic signal, designing a bilateral filtering decision index distribution algorithm, and obtaining decision indexes of the different frequency band magnetic signal characteristics; establishing a multi-signal fusion model, firstly accumulating judgment indexes obtained by single-axis different-frequency-band magnetic signals under a bilateral filtering algorithm to obtain a single-axis judgment index, and then accumulating judgment indexes of three-axis magnetic signals to obtain a fusion judgment index of the magnetic signals of the system; and quickly judging whether a ferromagnetic armored target exists in a detection range or not by adopting a quick judgment criterion based on a fixed threshold method.

Description

technical field [0001] The invention belongs to target recognition technology, in particular to a specific target recognition method for passive magnetic detection based on discrete Meyer wavelet. Background technique [0002] In the actual battlefield, most of the targets of weapons and ammunition are ferromagnetic targets such as helicopters, tanks, and armored vehicles, and the battlefield environment is complex. Traditional laser fuzes are easily affected by the ground, trees, clouds, smoke, etc., and cannot be accurately identified. Ferromagnetic armored target. Therefore, if the ferromagnetic armored target can be effectively detected and identified, the detection performance of the laser fuze will be greatly improved. [0003] The earth itself is a huge magnetic field. The ferromagnetic armored target in the battlefield has a high magnetic permeability, which will cause local geomagnetic field deflection, that is, the strength and direction of the geomagnetic field n...

AI Technical Summary

Problems solved by technology

The dynamic threshold acquisition will lead to the loss of signal, the complete magnetic signal cannot be collected, and the moving average filtering method will lead to the loss of characteristic signals in some frequency bands

In the case of incomplete signals and loss of characteristic signals in some frequency bands, there are errors in the extracted magnetic signal features, and the recognition accuracy is not high

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