Programs for Maneuvering Target Tracking Based on Current Statistical Model

Resource Overview

Uploaded several programs for maneuvering target tracking based on the current statistical model, including subroutines, reference literature, and particle filter-based target tracking programs with detailed algorithm implementations and MATLAB function descriptions

Detailed Documentation

In this paper, we present several maneuvering target tracking programs based on the current statistical model. These programs include subroutines and reference literature, along with particle filter-based target tracking implementations. The development of these programs focuses on improving tracking accuracy and efficiency for maneuvering targets through advanced algorithms such as adaptive filtering techniques and probabilistic state estimation. Key MATLAB functions implement velocity-adaptive noise adjustment and Bayesian recursive filtering to handle target maneuver uncertainties. We believe these programs will provide robust support for future advancements in maneuvering target tracking technology and contribute significantly to practical applications requiring high-precision tracking capabilities.