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Title: 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:
ORCiD logo [1]
  1. 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}
}

Conference:
Other availability
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