Performance of Joint Sensing-Communication Cooperative Sensing UAV Network

To exploit the spectrum reuse potential and enhance the cooperative sensing ability of the cooperative sensing unmanned aerial vehicle network (CSUN), we propose a novel joint sensing-communication (JSC) CSUN that can simultaneously conduct downward-looking radar sensing and sensing data fusion comm...

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Bibliographic Details
Published in:IEEE transactions on vehicular technology 2020-12, Vol.69 (12), p.15545-15556
Main Authors: Chen, Xu, Feng, Zhiyong, Wei, Zhiqing, Gao, Feifei, Yuan, Xin
Format: Article
Language:English
Subjects:
Antenna arrays
Antenna design
Arrays
Beam sharing
Communication
Constraint modelling
cooperative sensing
Data integration
Interference
joint sensing-communication system
Linear antenna arrays
Multisensor fusion
Radar
Sensors
Transceivers
unmanned aerial vehicle network
Unmanned aerial vehicles
Upper bounds
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Summary:To exploit the spectrum reuse potential and enhance the cooperative sensing ability of the cooperative sensing unmanned aerial vehicle network (CSUN), we propose a novel joint sensing-communication (JSC) CSUN that can simultaneously conduct downward-looking radar sensing and sensing data fusion communication with the unified spectrum and transceiver by adopting the beam sharing scheme. To achieve the beam sharing scheme, we design a novel antenna array equipped on each UAV, which can generate a sensing beam and a communication beam orthogonally for downward detection and data-fusion communication, respectively. To quantify the cooperative sensing performance of CSUN, we propose and formulate a novel upper-bound average cooperative sensing area (UB-ACSA) as the cooperative sensing performance metric, based on deriving the closed-form expressions for the average mutual sensing interference of CSUN and the communication capacity constraints. Finally, extensive simulations are conducted to validate the theoretical results. We also demonstrate that the cooperative sensing performance of the JSC CSUN can improve by 66.3 percent compared with the conventional CSUN in terms of UB-ACSA.
ISSN:0018-9545
1939-9359
DOI:10.1109/TVT.2020.3042466