A new rapid positioning strategy for the impact-point using dynamic mode decomposition and time difference of arrival ^*

Abstract

In outdoor shooting range experiments, locating the projectile impact point is typically done through manual search, which can be time-consuming and costly. To improve experimental efficiency and reduce costs, this paper proposes a new approach for localizing the impact point using the dynamic mode decomposition (DMD) extension method and time difference of arrival (TDOA) based on seismic waves. The DMD extension method is applied to one-dimensional seismic signals. Additionally, diagonal averaging is applied to recover the reconstructed matrix, which could achieve better noise reduction than conventional singular value decomposition and empirical mode decomposition methods. Numerical simulations are then conducted to analyze the impact point positioning model, resulting in an absolute location error within 20 m in a 1000 m square area. The work demonstrates that the joint positioning algorithm combining on DMD and TDOA achieves high positioning accuracy, making it a promising tool for future experiments on outdoor shooting ranges.

Impact location of metal structures based on time–frequency image features and deep residual network

“…This technique improves the localization accuracy for multiple types of sensors. Bi et al [8] proposed a new approach to location impact points based on dynamic mode decomposition (DMD) extension method and TDOA The research shows that the joint localization algorithm combining DMD and TDOA has high localization accuracy. Sedlak et al [9] proposed a two-step localization method based on the Akaike information criterion (AIC).…”