Noise suppression method for magnetic field sensor network

Abstract

The invention provides a noise suppression method for a magnetic field sensor network. In the noise suppression method, by using a magnetic field sensor array, in virtue of the characteristic that signals are produced by an interference source and a signal source at nodes of the sensor network, magnetic field signals measured at the nodes of the sensor network are decomposed into superposition of a plurality of harmonic functions by using spherical harmonics, a vector signal base with linear independence is formed, the signal base is used for decomposing the measured magnetic field signals, the signal amplitudes corresponding to a signal source and a noise source are separated, and the signal amplitude corresponding to the noise source is abandoned, so that noise generated by the magnetic field noise source is suppressed.

Description

technical field [0001] The invention relates to the technical field of magnetic field sensors and sensor networks, in particular to a noise suppression method for magnetic field sensor networks. Background technique [0002] In recent years, sensor networks have been widely used in military security, environmental monitoring, biomedical, industrial production and other fields due to their powerful data acquisition capabilities. As a network system for monitoring important ports and waters, the underwater magnetic sensor network has the characteristics of passive detection, high positioning accuracy, short execution time, little influence by the complex environment of shallow seas, and concealment, which is of great significance to maintaining national marine security. [0003] In the actual magnetic field measurement, the complex electromagnetic environment will affect the detection effect of the magnetic sensor network and limit the detection distance of underwater targets....

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Problems solved by technology

However, the above methods are all based on noise suppression of a single magnetic field sensor. In the case of SNR<<1, the detection effect of the above method is not good

In addition, many scholars use reference sensors and gradient methods to suppress environmental magnetic field noise, but for some noises (such as geological noise), the noise suppression ability is poor, which affects the detection rate of intrusion targets.

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