Performance Comparison of the IMMPDAF Algorithm Using Real and Simulated Radar Measurements

Marcelo Lucena De Souza,Alberto Gaspar Guimarães,Ernesto Leite Pinto

doi:10.5028/jatm.v8i2.588

Marcelo Lucena De Souza, Alberto Gaspar Guimarães + Show 1 more

Open Access

https://doi.org/10.5028/jatm.v8i2.588

Copy DOI

Abstract

Performance indexes obtained in idealized simulated scenarios are the primary source of data for evaluating different target tracking algorithms in most researches presented in the literature. Despite the convenience of simulation, ultimate evaluation of a tracking algorithm must be made in real scenarios. Unfortunately, real radar measurements as well as accurate aircraft position, necessary for calculating tracking errors, are not easily available. In this paper, we present an evaluation of the well-known Interacting Multiple-Model with Probabilistic Data Association Filtering algorithm using data obtained from a flight inspection of a Brazilian Air Force ground-based long-range surveillance radar. The presented results show that, in this scenario the Interacting Multiple-Model with Probabilistic Data Association Filtering algorithm performance using real data is worse compared to simulation. Statistical properties of the real radar measurements are also investigated, and some evidence is found that embedded noise is not well modeled as perfectly white.

Highlights

When dealing with simulation for performance evaluation of target tracking algorithms one is faced with the problem of modeling radar measurements and target dynamics
Due to the possibility of real targets exhibiting complex dynamics, target state estimation has been tackled by the multiple-model approach, in which it is assumed that the target can switch between several simpler flight models, each one matched to a target mode-of-flight (Bar-Shalom et al 2001)
Setup The Interacting Multiple-Model with Probabilistic Data Association Filtering (IMMPDAF) algorithm was implemented in MATLAB using the IMMPDAF equations presented in Bar-Shalom et al (2011)

Summary

Introduction

When dealing with simulation for performance evaluation of target tracking algorithms one is faced with the problem of modeling radar measurements and target dynamics. The current paper uses data obtained in a flight inspection of a Brazilian Air Force ground-based long-range radar to evaluate the performance of the IMMPDAF algorithm.

Results

Conclusion