TY - GEN
T1 - Multiple Methods Based Resource Allocation Optimization of Jamming System for UAV Clusters
AU - Guo, Jiachao
AU - Wang, Hua
AU - Cheng, Hao
AU - Shi, Qingli
N1 - Publisher Copyright:
© 2022 IEEE.
PY - 2022
Y1 - 2022
N2 - In order to study the jamming resource allocation problem of UAV clusters to radar clusters and to maximize the utilization of jamming resources, we established a cooperative jamming suppression effectiveness model with clear constraints and suitable optimization objective functions. We simulated the allocation of jammer resources, basing on radar threat level and jamming effectiveness matrix with the objective of maximizing jamming effectiveness to radar clusters, using intlinprog function, improved PSO and GA, which adopts traversable boundary and binary coding mode respectively. The simulation results showed that the expected effectiveness on jamming resource allocation can be achieved by both improved algorithms.
AB - In order to study the jamming resource allocation problem of UAV clusters to radar clusters and to maximize the utilization of jamming resources, we established a cooperative jamming suppression effectiveness model with clear constraints and suitable optimization objective functions. We simulated the allocation of jammer resources, basing on radar threat level and jamming effectiveness matrix with the objective of maximizing jamming effectiveness to radar clusters, using intlinprog function, improved PSO and GA, which adopts traversable boundary and binary coding mode respectively. The simulation results showed that the expected effectiveness on jamming resource allocation can be achieved by both improved algorithms.
KW - genetic algorithm
KW - jamming effectiveness
KW - particle swarm algorithm
KW - resource allocation
KW - unmanned jamming system
UR - https://www.scopus.com/pages/publications/85146486915
U2 - 10.1109/ICUS55513.2022.9986780
DO - 10.1109/ICUS55513.2022.9986780
M3 - 会议稿件
AN - SCOPUS:85146486915
T3 - Proceedings of 2022 IEEE International Conference on Unmanned Systems, ICUS 2022
SP - 867
EP - 872
BT - Proceedings of 2022 IEEE International Conference on Unmanned Systems, ICUS 2022
A2 - Song, Rong
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2022 IEEE International Conference on Unmanned Systems, ICUS 2022
Y2 - 28 October 2022 through 30 October 2022
ER -