Spline reconstruction of the informativeness template in correlation-extreme navigation tasks

The problem of correlation-extreme navigation is addressed based on the reconstructed spline template of informativeness, incorporating a priori information about the safe movement of vessels in conflict navigation spaces. The paper focuses on the practical implementation of intelligent ship motion control guided by the principle of analyzing the geophysical field geometry when enabling autonomous ship movement along an electronic spline trajectory. The study substantiates terrain-based navigation principles by comparing measured navigation parameters with a pre-created virtual informative template via an extreme correlation functional for continuous vessel location updates. An analysis of alternative positioning reveals the advantages and disadvantages of various autonomous map-aided navigation methods, emphasizing their potential accuracy. The hypothesis of spatial and surface field navigation as the sole alternative to satellite systems is examined. Alternative navigation is proposed as an assistive technology to complement traditional satellite positioning, ensuring maximum noise resistance and cybersecurity in operational situational awareness. Integrity monitoring is studied as a modern criterion for validating navigation information. The application of integrity is hypothesized to improve real-time iterative coordinate calculations in alternative positioning. A new procedure is developed to optimize grid approximation point distribution by determining the effective positions of sliding nodes. Computational implementation of a wide range of correlation-extreme navigation tasks is achieved through enhanced Pascal programs. The proposed algorithm, tested with spline function methods, provides harmonized assistance to navigators, extending situational awareness horizons for watch assistants navigating challenging scenarios.