Performance Tradeoffs of Spectrum Sensing and Target State Estimation and Fusion
Abstract
We consider a scenario where a cognitive radio sensor performs spectrum sensing and target tracking alternately. Both tasks may impose certain performance guarantee requirements that necessitate considerations of how to schedule these tasks over time. In addition, multiple such cognitive radio sensors can perform collaborative spectrum sensing and target tracking, where a fusion center serves to collect the sensor estimates and their covariances to generate fused target state estimates. We study the performance tradeoffs of these two tasks from variable scheduling intervals. The effect of sensing errors on the target tracking performance due to induced loss from perceived channel unavailability is investigated and conclusions are drawn based on the observed performance tradeoffs.
- Authors:
-
- ORNL
- Publication Date:
- Research Org.:
- Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States)
- Sponsoring Org.:
- USDOE
- OSTI Identifier:
- 1468107
- DOE Contract Number:
- AC05-00OR22725
- Resource Type:
- Conference
- Resource Relation:
- Conference: IEEE 88th Vehicular Technology Conference - Chicago, Illinois, United States of America - 8/27/2018 4:00:00 AM-8/30/2018 4:00:00 AM
- Country of Publication:
- United States
- Language:
- English
Citation Formats
Liu, Qiang. Performance Tradeoffs of Spectrum Sensing and Target State Estimation and Fusion. United States: N. p., 2018.
Web.
Liu, Qiang. Performance Tradeoffs of Spectrum Sensing and Target State Estimation and Fusion. United States.
Liu, Qiang. 2018.
"Performance Tradeoffs of Spectrum Sensing and Target State Estimation and Fusion". United States. https://www.osti.gov/servlets/purl/1468107.
@article{osti_1468107,
title = {Performance Tradeoffs of Spectrum Sensing and Target State Estimation and Fusion},
author = {Liu, Qiang},
abstractNote = {We consider a scenario where a cognitive radio sensor performs spectrum sensing and target tracking alternately. Both tasks may impose certain performance guarantee requirements that necessitate considerations of how to schedule these tasks over time. In addition, multiple such cognitive radio sensors can perform collaborative spectrum sensing and target tracking, where a fusion center serves to collect the sensor estimates and their covariances to generate fused target state estimates. We study the performance tradeoffs of these two tasks from variable scheduling intervals. The effect of sensing errors on the target tracking performance due to induced loss from perceived channel unavailability is investigated and conclusions are drawn based on the observed performance tradeoffs.},
doi = {},
url = {https://www.osti.gov/biblio/1468107},
journal = {},
number = ,
volume = ,
place = {United States},
year = {Wed Aug 01 00:00:00 EDT 2018},
month = {Wed Aug 01 00:00:00 EDT 2018}
}