Sensor Phase Information Compensation Method Based on MQPSO

In the source location of underground explosions, the phase non-consistency among sensors can cause significant errors in the extraction of the time difference in the arrival of seismic waves, seriously affecting the accuracy of source location. To address the above-mentioned problem, this paper proposes a phase compensation method based on the Multi-strategy Quantum behaved Particle Swarm Optimization (MQPSO) algorithm. First, this method calibrates the phases of vibration sensors to obtain the phase differences among sensors. Second, it uses the MQPSO intelligent optimization algorithm to correct the phase differences among vibration sensors. Finally, simulations and field tests are carried out for verification. The experimental results show that after adopting the phase compensation method with MQPSO, the range of phase differences in sensors is reduced by an average of 91% compared with the uncompensated state. This fully verifies that the phase compensation method of MQPSO can effectively complete the phase consistency calibration of sensors, providing important support for the source location of underground explosions.