Based on the analysis of the acoustic channel cable tunnel positioning technology

Summary: Cable tunnels have challenges such as complete rejection of satellite signals and complex electromagnetic channel states, which make traditional positioning methods face a decline in positioning accuracy and an increase in variance.And other issues.To this end, this paper proposes a high-precision personnel localization method in cable tunnels based on acoustic channel model analysis and time-of-arrival estimation.First, multiple groups of near-ultrasonic base stations are arranged in the tunnel, and the base station layout is optimized by the finite element analysis method; secondly, for the dynamic channel change scenario caused by the movement of people, a statistical parameter model is established at the signal receiving end to quickly estimate the signal parameters andThe signal is reconstructed in the fractional Fourier transform domain, and the moving speed of the person is inferred from the channel frequency shift state.Finally, using the time of arrival and moving speed estimated by the channel model, the location of the person is estimated based on the Kalman filter, and the estimated result of the fusion time of arrival is fed back to the next stage of the parameter estimation process, and then the signal parameter estimation result is corrected.Experiments in underground cable tunnels demonstrate the effectiveness of the proposed method, outperforming traditional UWB positioning systems in line-of-sight conditions.

Keywords: Cable Tunnel Location  Channel Model Analysis   Fractional Fourier Transform   Fusion Position Estimation  Reference Signal Correction