| Citation: | Chunjiang BAI, Wanzhao CUI, Jun LI. Prediction of Passive Intermodulation Level Based on Chaos Method[J]. Journal of Electronics & Information Technology, 2021, 43(1): 124-130. doi: 10.11999/JEIT190977
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Passive InterModulation (PIM) products are spurious frequency signals which occur in microwave and radio frequency communication system. And it is noticed that PIM levels have the characteristic of changing with time. In order to find out the relationship between PIM level and time, as the typical microwave component which more often causes PIM in communication system, coaxial connector is chosen and analyzed using chaotic method. Firstly, the third order PIM level time series of coaxial connector is obtained by PIM measurement system. Based on the experimental data, the phase space is reconstructed and the optimal embedding dimension m and delay time τ are confirmed. Secondly, the largest Lyapunov exponent is calculated by the method named the small data sets with embedding dimension m and delay time τ. And from the qualitative and quantitative perspective, it is verified that the passive intermodulation level time series have the characteristic of chaos. Lastly, the prediction of PIM level with chaotic method is performed on the basis of the largest Lyapunov exponent. And the maximum error between the theoretical prediction value and the experimental value is 2.61% within the maximum predictable scale, indicating that the chaotic prediction is an effective way. The method that predicts the PIM level of microwave components in the communication system discussed in this paper provides a new way of studying the PIM mitigation technique for communication system and provides a new idea for improving the performance of the communication system.
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