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Volume 41 Issue 3
Mar.  2019
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Huixian SUN, Jiancheng LIU, Peizhang CUI, Houde QUAN, Youxi TANG. RF Interference Cancellation Based on Multi-channel Least Mean Square for Multi-transmits and Single-receive Co-vehicle Radios[J]. Journal of Electronics & Information Technology, 2019, 41(3): 556-562. doi: 10.11999/JEIT180356
Citation: Huixian SUN, Jiancheng LIU, Peizhang CUI, Houde QUAN, Youxi TANG. RF Interference Cancellation Based on Multi-channel Least Mean Square for Multi-transmits and Single-receive Co-vehicle Radios[J]. Journal of Electronics & Information Technology, 2019, 41(3): 556-562. doi: 10.11999/JEIT180356

RF Interference Cancellation Based on Multi-channel Least Mean Square for Multi-transmits and Single-receive Co-vehicle Radios

doi: 10.11999/JEIT180356
Funds:  The National Natural Science Foundation of China (61531009, 61471108), The National Major Projects of China (2016ZX03001009)
  • Received Date: 2018-04-18
  • Rev Recd Date: 2018-11-26
  • Available Online: 2018-12-03
  • Publish Date: 2019-03-01
  • The transmit radios would severely interfere the receive radios, only if they are simultaneously operating in the same tactical command vehicle. Considering this problem, the RF interference cancellation method for multi-transmits and single-receive co-vehicle radios, based on Multi-Channel Least Mean Square (MCLMS) algorithm, is proposed. Firstly, the analysis indicates that the situation of N-transmits and M-receives co-vehicle radios is the equivalent of M case of N-transmits and single-receive, by which the RF interference cancellation model of multi-transmits and single-receive is constructed. Secondly, the RF interference cancellation method based on MCLMS algorithm is presented, and the performance of this method is analyzed to obtain the mathematical relation expression between Mutual-Interference Cancellation Ratio (MICR) and transmit radio number N, convergence factor

    \begin{document}$\mu $\end{document}

    . Finally, the simulations demonstrate the validity of the theory result, and indicate that the mutual-interference between transmit radios and receive radios is efficiently suppressed to enhance the electromagnetic compatibility of communication command vehicle.

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