TY - GEN
T1 - Research on Adaptive Fusion Tracking Algorithm for Bearings-Only Measurement
AU - Yang, Kun
AU - Jiang, Chunlan
AU - Li, Ming
N1 - Publisher Copyright:
© 2019 IEEE.
PY - 2019/10
Y1 - 2019/10
N2 - Target tracking is one of the key technologies in the military application of wireless sensor networks. This paper aims at the characteristics of wireless sensor network nodes, which have limited computing capacity but can conduct data fusion through wireless communication, to improve tracking accuracy from two aspects. On the one hand, an adaptive bias-compensated pseudo-measurement Kalman filter based on process noise is proposed, on the other hand, an adaptive weighted fusion algorithm based on innovation is proposed. Through multiple simulations, the proposed algorithms can significantly improve the tracking accuracy and robustness of the system on the premise of low computational complexity.
AB - Target tracking is one of the key technologies in the military application of wireless sensor networks. This paper aims at the characteristics of wireless sensor network nodes, which have limited computing capacity but can conduct data fusion through wireless communication, to improve tracking accuracy from two aspects. On the one hand, an adaptive bias-compensated pseudo-measurement Kalman filter based on process noise is proposed, on the other hand, an adaptive weighted fusion algorithm based on innovation is proposed. Through multiple simulations, the proposed algorithms can significantly improve the tracking accuracy and robustness of the system on the premise of low computational complexity.
KW - innovation
KW - process noise
KW - pseudo-measurement Kalman filter
KW - track fusion
UR - http://www.scopus.com/inward/record.url?scp=85080887236&partnerID=8YFLogxK
U2 - 10.1109/ICUS48101.2019.8995998
DO - 10.1109/ICUS48101.2019.8995998
M3 - Conference contribution
AN - SCOPUS:85080887236
T3 - Proceedings of the 2019 IEEE International Conference on Unmanned Systems, ICUS 2019
SP - 261
EP - 266
BT - Proceedings of the 2019 IEEE International Conference on Unmanned Systems, ICUS 2019
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2019 IEEE International Conference on Unmanned Systems, ICUS 2019
Y2 - 17 October 2019 through 19 October 2019
ER -