Target tracking; PDA-AI; Monte Carlo simulation; Tight lower bound; Analytic solution
Issue Date
2003-07
Publisher
대한전기학회
Citation
전기학회논문지 D권, v. 52, no. 7, page. 410-417
Abstract
- In this paper, We propose a new target tracking filter which utilizes PDA-AI for data association in a clutter environment and also propose an analytic solution for ideal filter covariance which accounts for all the possible events in PDA-AI. Monte Carlo simulation for the proposed filter in a clutter environment indicates that the proposed analytic solution forms a tight lower bound for the error covariance of PDA-AI filter.