TY - GEN
T1 - A Novel RTRLNN Model for Passive Intermodulation Cancellation in Satellite Communications
AU - Liang, Bizheng
AU - Bu, Xiangyuan
AU - Li, Mucheng
AU - Guo, Pengfei
AU - Liu, Celun
N1 - Publisher Copyright:
© 2018 IEEE.
PY - 2018/8/28
Y1 - 2018/8/28
N2 - Passive intermodulation (PIM) often limits the performance of satellite communication systems with multi-carriers. The PIM interference has a peculiarity of time-varying and non-Markov. While the existing digital signal processing methods have limited effects, we propose a novel adaptive real-time recursion learning neural network (RTRLNN) which is suitable for dynamic PIM in satellite communications. The proposed novel RTRLNN method has fast convergence with its adaptive learning rate and accurate approximation ability. In this paper, a cancellation system with RTRLNN algorithm is designed for the PIM interference in satellite communications. The system has two processing sections which are pilot slot and data transmission slot. The system extracts the feature of PIM interference and trains itself in the pilot slot while achieves cancellation of PIM interference in the data transmission slot. Simulation results are presented on time and frequency domain illustrating the effectiveness of PIM interference cancellation. Compared with the modified least mean square(LMS) method, the proposed novel RTRLNN method significantly decreases the bit error rate(BER) of PIM interference. Furthermore, the proposed novel RTRLNN method shows an enhancement of 10dB in SIR gain while the Eb/N0 fixed 1dB.
AB - Passive intermodulation (PIM) often limits the performance of satellite communication systems with multi-carriers. The PIM interference has a peculiarity of time-varying and non-Markov. While the existing digital signal processing methods have limited effects, we propose a novel adaptive real-time recursion learning neural network (RTRLNN) which is suitable for dynamic PIM in satellite communications. The proposed novel RTRLNN method has fast convergence with its adaptive learning rate and accurate approximation ability. In this paper, a cancellation system with RTRLNN algorithm is designed for the PIM interference in satellite communications. The system has two processing sections which are pilot slot and data transmission slot. The system extracts the feature of PIM interference and trains itself in the pilot slot while achieves cancellation of PIM interference in the data transmission slot. Simulation results are presented on time and frequency domain illustrating the effectiveness of PIM interference cancellation. Compared with the modified least mean square(LMS) method, the proposed novel RTRLNN method significantly decreases the bit error rate(BER) of PIM interference. Furthermore, the proposed novel RTRLNN method shows an enhancement of 10dB in SIR gain while the Eb/N0 fixed 1dB.
KW - Interference Cancellation
KW - Passive Intermodulation
KW - RTRLNN
KW - Satellite Communication
UR - http://www.scopus.com/inward/record.url?scp=85053859572&partnerID=8YFLogxK
U2 - 10.1109/IWCMC.2018.8450316
DO - 10.1109/IWCMC.2018.8450316
M3 - Conference contribution
AN - SCOPUS:85053859572
SN - 9781538620700
T3 - 2018 14th International Wireless Communications and Mobile Computing Conference, IWCMC 2018
SP - 18
EP - 23
BT - 2018 14th International Wireless Communications and Mobile Computing Conference, IWCMC 2018
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 14th International Wireless Communications and Mobile Computing Conference, IWCMC 2018
Y2 - 25 June 2018 through 29 June 2018
ER -