Abstract
This chapter investigates the problem of mobile racking in mixed line-of-sight (LOS)/non-line-of sight (NLOS) conditions. The state-of-the-art methods in this field are first reviewed. Then, we consider the problem in the Bayesian estimation framework and focus on two types of Bayesian filters: the Gaussian mixture filter (GMF) and the particle filter (PF). In the GMF section, the approximation property an d the convergence results are summarized. Then, the modified extended Kalman filter (EKF) banks method, as one specific GMF, is described. In the PF section, generic PF is first introduced, and a more effective PF, approximated Rao-Blackwellized particle filtering (ARBPF), is further discussed of a posterior Cramer-Rao lower bound (CRLB) for this kind of mobile tracking problem.
Original language | English |
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Title of host publication | Handbook of Position Location: Theory, Practice, and Advances, 2nd Edition |
Editors | Reza Zekavat, R. Michael Buehrer |
Publisher | WILEY-IEEE PRESS |
Chapter | 19 |
Pages | 637-660 |
Number of pages | 24 |
Edition | 2 |
ISBN (Print) | 978-1-119-43458-0 |
Publication status | Published - 1 Feb 2019 |
Publication type | B2 Book chapter |