Performance Metrics for Low Probability of Detection in Cooperative Communication Networks
Abstract
This paper proposes two metrics for evaluating the low probability of detection (LPD) performance in cooperative wireless communication networks. One metric is the distance ration between the minimum range of all the interceptor-relay/transmitter pairs and the intended transmitter-destination distance. Another is the ratio between the average range of all interceptor-relay/transmitter pairs and the intended transmitter-destination distance. The two metrics are compared with the distance ratio defined for the point-to-point communication systems with a simple relay network topology. The results show that the cooperative networks exhibit worse LPD performance than the point-to-point systems when the same receivers are used in both cooperative network and point-to-point system.
Recommended Citation
Y. R. Zheng and L. L. Fan, "Performance Metrics for Low Probability of Detection in Cooperative Communication Networks," Proceedings of OCEANS 2016 MTS/IEEE Shanghai (2016, Shanghai, China), Institute of Electrical and Electronics Engineers (IEEE), Apr 2016.
The definitive version is available at https://doi.org/10.1109/OCEANSAP.2016.7485541
Meeting Name
OCEANS '16 MTS/IEEE Shanghai (2016, Apr. 10-13, Shanghai, China)
Department(s)
Electrical and Computer Engineering
Sponsor(s)
National Science Foundation (U.S.)
Keywords and Phrases
Probability; Telecommunication networks; Transmitters; Wireless telecommunication systems; Cooperative networks; Covert communications; Distance ratio metric; Low probability of detections; Low probability of interceptions; Secure wireless network; Cooperative communication
International Standard Book Number (ISBN)
978-1-4673-9725-4
Document Type
Article - Conference proceedings
Document Version
Citation
File Type
text
Language(s)
English
Rights
© 2016 Institute of Electrical and Electronics Engineers (IEEE), All rights reserved.
Publication Date
01 Apr 2016
Comments
This work is supported in part by the National Science Foundation grant #ECCS1408316 of the United States.