TY - GEN
T1 - Power Control Based on Fuzzy Logic in Satellite Cooperative Sensing
AU - Song, Mi
AU - Shen, Yuyao
AU - Shi, Xuesen
AU - Wang, Yongqing
N1 - Publisher Copyright:
© 2022 IEEE.
PY - 2022
Y1 - 2022
N2 - In satellite cooperative sensing, it is assumed that the reporting and fusion stage of each cognitive satellite is an ideal and error-free transmission process. However, in the actual reporting process, the distance inconsistency will cause a near-far effect. To solve this problem, a power control algorithm based on fuzzy logic is proposed. In the inner-loop, the transmission power of each cognitive satellite is controlled so that the received power of each cognitive satellite that reaches the fusion center is balanced; in the outer-loop power control, the target power of the received power is dynamically adjusted by the fuzzy logic controller to achieve the best cooperative fusion performance. The algorithm can control the power more accurately subject to the premise of ensuring the performance. Compared with the fixed step power control algorithm, the control deviation is smaller. The simulation results verify the effectiveness of the algorithm.
AB - In satellite cooperative sensing, it is assumed that the reporting and fusion stage of each cognitive satellite is an ideal and error-free transmission process. However, in the actual reporting process, the distance inconsistency will cause a near-far effect. To solve this problem, a power control algorithm based on fuzzy logic is proposed. In the inner-loop, the transmission power of each cognitive satellite is controlled so that the received power of each cognitive satellite that reaches the fusion center is balanced; in the outer-loop power control, the target power of the received power is dynamically adjusted by the fuzzy logic controller to achieve the best cooperative fusion performance. The algorithm can control the power more accurately subject to the premise of ensuring the performance. Compared with the fixed step power control algorithm, the control deviation is smaller. The simulation results verify the effectiveness of the algorithm.
KW - cooperative sensing
KW - fuzzy logic control
KW - power control
KW - satellite cognitive networks
UR - http://www.scopus.com/inward/record.url?scp=85136427806&partnerID=8YFLogxK
U2 - 10.1109/ITAIC54216.2022.9836914
DO - 10.1109/ITAIC54216.2022.9836914
M3 - Conference contribution
AN - SCOPUS:85136427806
T3 - IEEE Joint International Information Technology and Artificial Intelligence Conference (ITAIC)
SP - 1424
EP - 1430
BT - IEEE 10th Joint International Information Technology and Artificial Intelligence Conference, ITAIC 2022
A2 - Xu, Bing
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 10th IEEE Joint International Information Technology and Artificial Intelligence Conference, ITAIC 2022
Y2 - 17 June 2022 through 19 June 2022
ER -