Comparative Analysis of Bistatic Passive Localization Performance Under Different Maneuvering Modes

MATLAB 2K 270 views 1 downloads 1 credits
Tags:

Resource Overview

Performance comparison of bistatic passive localization under various maneuvering modes using Kalman Filter implementation, providing valuable insights for bearing-only localization research with code-level algorithmic explanations.

Detailed Documentation

This paper presents a comparative analysis of bistatic passive localization performance under different aircraft maneuvering modes, incorporating Kalman Filter (KF) implementation to investigate bearing-only localization techniques. The research employs sophisticated filtering algorithms where the Kalman Filter processes measurement data through prediction and correction phases - using state transition matrices for trajectory estimation and measurement matrices for angular data fusion. This methodological approach significantly contributes to our understanding of passive localization technology applications. By systematically analyzing and comparing localization effectiveness across various maneuvering patterns, we derive comprehensive and accurate conclusions that provide substantial references and guidance for future research and practical implementations in defense systems and unmanned aerial vehicle navigation.

You May Also Like