Handbook of Multisensor Data Fusion, 2nd Edition

10

 

 

Target Tracking Using Probabilistic Data Association-Based Techniques with Applications to Sonar, Radar, and EO Sensors

 

T. Kirubarajan and Yaakov Bar-Shalom

CONTENTS

10.1   Introduction

10.2   Probabilistic Data Association

10.2.1   Assumptions

10.2.2   PDAF Approach

10.2.3   Measurement Validation

10.2.4   State Estimation

10.2.5   State and Covariance Update

10.2.6   Prediction Equations

10.2.7   Probabilistic Data Association

10.2.8   Parametric PDA

10.2.9   Nonparametric PDA

10.3   Low Observable TMA Using the ML-PDA Approach with Features

10.3.1   Amplitude Information Feature

10.3.2   Target Models

10.3.3   Maximum Likelihood Estimator Combined with PDA: The ML-PDA

10.3.4   Cramér–Rao Lower Bound for the Estimate

10.3.5   Results ...