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Two-Tone 입력을 이용한 RF 전력증폭기 메모리 특성의 신경망 모델링
황보훈,김원호,나완수,김병성,박천석,양영구,Hwangbo Hoon,Kim Won-Ho,Nah Wansoo,Kim Byung-Sung,Park Cheonsuk,Yang Youngoo 한국전자파학회 2005 한국전자파학회논문지 Vol.16 No.10
본 논문에서는 투톤(two-tone) 신호가 입력된 RF 전력 증폭기의 출력단에서 관찰되는 메모리 효과를 신경망회로를 이용하여 모델링 하였다. 입력 신호의 톤 간격과 전력 레벨의 변화에 따른 출력 전력의 IMD(Inter-Modulation Distortion) 비대칭성을 측정하여 고출력 RF 전력 증폭기의 메모리 효과를 확인하였으며, 서로 다른 중심 주파수에서의 메모리 효과도 실험적으로 확인하였다. 투톤 입력 신호 테스트에 기초한 전력 증폭기의 모델링 방법으로 TDNN(Tapped Delay Line-Neural Network)방식을 적용하였으며 이 방식이 다른 여러 가지 모델링 방법과 비교하여 매우 신뢰할만한 정확성을 가짐을 보였다. In this paper, we used neural network technique to model memory effects of RF power amplifier which is fed by two-tone input signals. The memory effects in power amplifier were identified by observing the unsymmetrical distribution of IMD(Inter-Modulation Distortion) measurements with the change of tone spacings and power levels. Different asymmetries of IMD were also found at different center frequencies. We applied TDNN technique to model LDMOS power amplifier based on two tone IMD data, and the accuracy was very high compared to other modeling methods such as the(memoryless) adaptive modeling method.
벡터 회로망 분석기 측정을 기반으로 한 3상 변압기의 시간영역 펄스 신호에 대한 응답 분석
김광호,정종만,나완수,Kim, Kwangho,Jung, Jongman,Nah, Wansoo 한국전력공사 2015 KEPCO Journal on electric power and energy Vol.1 No.1
Transformer is widely used element on power system and industrial area. Especially the transformers installed at power system are exposed to an environment of arbitrary changed. Thus the prediction of degradation and the analysis of response to impulse are important. To conduct those works, the electrical characteristics of system should be analyzed, effectively. But the analysis of electrical characteristic in electric machine level such as pole and pad-mounted transformer is almost no, thus commercial VNA (Vector Network Analyzer) is used to getting the response in wide frequency range. However, the output power of VNA is usually under 10mW, so verification for effectiveness of measuring electrically large component should be conducted, firstly. Next, after getting total S-parameter of transformer, predicting impulse response can be performed in time-domain with circuit simulator. In this paper, it is introduced that verification effectiveness of VNA using transfer function from SFRA (Sweep Frequency Response Analyzer), firstly. Next, total S-parameter, six by six matix form, was built using measured 2 port S-parameter from vector network analyzer. To get the response to impulse which is defined by IEC 60060-1, time-domain simulation is conducted to ADS (Advenced Design System) circuit simulator.