A Procedure of Comparative Analysis of Recursive Nonlinear Filtering Algorithms in Navigation Data Processing Based on Predictive Simulation
О. А. Степанов, A. M. Isaev
Abstract
Abstract The paper describes a procedure based on predictive simulation for comparing the recursive suboptimal algorithms developed for nonlinear filtering problems including navigation data processing problems. The algorithms are compared in terms of accuracy, consistency, and computational complexity. The provided examples explain the procedure and illustrate its application.
Topics & Concepts
AlgorithmComputer scienceConsistency (knowledge bases)Nonlinear systemComputational complexity theoryArtificial intelligenceQuantum mechanicsPhysicsTarget Tracking and Data Fusion in Sensor NetworksInertial Sensor and NavigationAdvanced Data Processing Techniques