標題: Cooperative Self-Navigation in a Mixed LOS and NLOS Environment
作者: Tseng, Po-Hsuan
Ding, Zhi
Feng, Kai-Ten
電機資訊學士班
Undergraduate Honors Program of Electrical Engineering and Computer Science
關鍵字: Self-navigation;cooperative localization;time-of-arrival (TOA);nonline-of-sight (NLOS);particle filter
公開日期: 1-二月-2014
摘要: We investigate the problem of cooperative self-navigation (CSN) for multiple mobile sensors in the mixed line-of-sight (LOS) and nonline-of-sight (NLOS) environment based on measuring time-of-arrival (TOA) from the cooperative sensing. We first derive an optimized recursive Bayesian solution by adopting a multiple model sampling-based importance resampling particle filter for the development of CSN. It can accommodate nonlinear signal model and non-Gaussian position movement under different levels of channel knowledge. We also utilize a Rao-Blackwellization particle filter to split the original problem by tracking the channel condition with a grid-based filter and estimating the position with a particle filter. The CSN with position and channel tracking exhibits advantage over the noncooperative methods by utilizing additional cooperative measurements. It also shows improvement over the methods without channel tracking. Simulation results validate that both schemes can take the advantage of cooperative sensing and channel condition tracking in mixed LOS/NLOS environments, which motivates future research of cooperative gain for navigation and localization in a more general environment.
URI: http://dx.doi.org/10.1109/TMC.2013.6
http://hdl.handle.net/11536/24040
ISSN: 1536-1233
DOI: 10.1109/TMC.2013.6
期刊: IEEE TRANSACTIONS ON MOBILE COMPUTING
Volume: 13
Issue: 2
起始頁: 350
結束頁: 363
顯示於類別:期刊論文


文件中的檔案:

  1. 000333091100010.pdf