TY - GEN
T1 - Impulse-Mitigation Kalman Filter for Underwater Acoustic Communication
AU - Cao, Xinran
AU - Xu, Lijun
AU - Zhao, Qingqing
N1 - Publisher Copyright:
© 2024 IEEE.
PY - 2024
Y1 - 2024
N2 - Due to the complex underwater environment, underwater acoustic (UWA) communication system is one of the most challenging systems in wireless communication. The existence of interference is the major detrimental factor which constrains the performance of UWA communication. Impulse noise, introduced by nature sources and human activities, is the common interference in UWA communication. In order to mitigate the impulse noise, in this paper, we investigate an impulse-mitigation (IM) Kalman filter for UWA system. Different from the conventional Kalman filter, IM Kalman filter considered the effect of impulse noise, reduced the proportion of measurement affected by impulse noise to the final estimated state, and calculated the suitable weight for Kalman gain, which can mitigate the impact of impulse noise. Simulation results showed that the proposed method can effectively reduce the bit error rate and improve the reliability of the communication system compared with the existing impulse noise mitigation algorithms.
AB - Due to the complex underwater environment, underwater acoustic (UWA) communication system is one of the most challenging systems in wireless communication. The existence of interference is the major detrimental factor which constrains the performance of UWA communication. Impulse noise, introduced by nature sources and human activities, is the common interference in UWA communication. In order to mitigate the impulse noise, in this paper, we investigate an impulse-mitigation (IM) Kalman filter for UWA system. Different from the conventional Kalman filter, IM Kalman filter considered the effect of impulse noise, reduced the proportion of measurement affected by impulse noise to the final estimated state, and calculated the suitable weight for Kalman gain, which can mitigate the impact of impulse noise. Simulation results showed that the proposed method can effectively reduce the bit error rate and improve the reliability of the communication system compared with the existing impulse noise mitigation algorithms.
KW - impulse noise
KW - Kalman filter
KW - underwater acoustic communication
UR - http://www.scopus.com/inward/record.url?scp=85214916012&partnerID=8YFLogxK
U2 - 10.1109/ICSPCC62635.2024.10770379
DO - 10.1109/ICSPCC62635.2024.10770379
M3 - Conference contribution
AN - SCOPUS:85214916012
T3 - 2024 IEEE International Conference on Signal Processing, Communications and Computing, ICSPCC 2024
BT - 2024 IEEE International Conference on Signal Processing, Communications and Computing, ICSPCC 2024
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 14th IEEE International Conference on Signal Processing, Communications and Computing, ICSPCC 2024
Y2 - 19 August 2024 through 22 August 2024
ER -