A Partially Uniform Target Birth Model for Gaussian Mixture PHD/CPHD Filtering
- 8 October 2013
- journal article
- Published by Institute of Electrical and Electronics Engineers (IEEE) in IEEE Transactions on Aerospace and Electronic Systems
- Vol. 49 (4), 2835-2844
- https://doi.org/10.1109/taes.2013.6621859
Abstract
The conventional GMPHD/CPHD filters require the PHD for target births to be a Gaussian mixture (GM), which is potentially inefficient because careful selection of the mixture parameters may be required to ensure good performance. Here we present approximations which allow part of the birth PHD to be uniformly distributed, obviating the need to use a large GM to model target births. The benefits of this approach are demonstrated by simulations on a bearings-only filtering scenario.Keywords
This publication has 15 references indexed in Scilit:
- Adaptive Target Birth Intensity for PHD and CPHD FiltersIEEE Transactions on Aerospace and Electronic Systems, 2012
- Improved SMC implementation of the PHD filterPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2010
- Cubature Kalman FiltersIEEE Transactions on Automatic Control, 2009
- Convergence Analysis of the Gaussian Mixture PHD FilterIEEE Transactions on Signal Processing, 2007
- Sequential monte carlo methods for multi-target filtering with random finite setsIEEE Transactions on Aerospace and Electronic Systems, 2005
- Unscented Filtering and Nonlinear EstimationProceedings of the IEEE, 2004
- Discrete-time observability and estimability analysis for bearings-only target motion analysisIEEE Transactions on Aerospace and Electronic Systems, 1997
- Observability in passive target motion analysisIEEE Transactions on Aerospace and Electronic Systems, 1996
- Fundamental properties and performance of conventional bearings-only target motion analysisIEEE Transactions on Automatic Control, 1984
- Observability Criteria for Bearings-Only Target Motion AnalysisIEEE Transactions on Aerospace and Electronic Systems, 1981