Target tracking in uncertain Multipath Environment using distributed Angle-of-Arrival observation

Conference Paper

This work considers the problem of target tracking in complex multipath environments using Angle-of-Arrival (AoA) observations produced by a multistatic passive radar array network. In the presence of uncertain multipath channel properties, Simultaneous Target and Multipath Positioning (STAMP) problem is formulated by jointly estimating the target state and multipath channel parameters. In this work, a single cluster process is formulated using a recursive Bayesian estimation framework, where the target state is defined as a parent process and the reflector state is defined as the daughter process. A multi-hypothesis data association method is used with Probability Hypothesis Density (PHD) filtering to improve the accuracy of the target state estimate. Simulation results for an indoor target positioning problem demonstrates substantial improvements in localization accuracy with this method.

Full Text

Duke Authors

Cited Authors

  • Li, L; Krolik, JL

Published Date

  • June 22, 2015

Published In

Volume / Issue

  • 2015-June / June

Start / End Page

  • 1473 - 1478

International Standard Serial Number (ISSN)

  • 1097-5659

International Standard Book Number 13 (ISBN-13)

  • 9781479982325

Digital Object Identifier (DOI)

  • 10.1109/RADAR.2015.7131228

Citation Source

  • Scopus