This paper presents a novel automated microwave filter tuning method based on successive optimization of phase and amplitude characteristics. We develop an optimization procedure to determine how much the adjusting screws of a filter should be rotated. The proposed filter tuning method consists of two stages; coarse and fine tuning stages. In the first stage, called coarse tuning, the phase response error of the target filter is minimized so that the filter roughly approximates almost ideal bandpass characteristics. Then in the second stage, called fine tuning, two different amplitude response errors are minimized in turn and then the resulting filter well approximate the ideal characteristics. Performance of the proposed tuning procedure is evaluated through some experiments of actual filter tuning.
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Yosuke TAKEUCHI, Koichi ICHIGE, Koichi MIYAMOTO, Yoshio EBINE, "Automated Microwave Filter Tuning Based on Successive Optimization of Phase and Amplitude Characteristics" in IEICE TRANSACTIONS on Fundamentals,
vol. E94-A, no. 2, pp. 617-624, February 2011, doi: 10.1587/transfun.E94.A.617.
Abstract: This paper presents a novel automated microwave filter tuning method based on successive optimization of phase and amplitude characteristics. We develop an optimization procedure to determine how much the adjusting screws of a filter should be rotated. The proposed filter tuning method consists of two stages; coarse and fine tuning stages. In the first stage, called coarse tuning, the phase response error of the target filter is minimized so that the filter roughly approximates almost ideal bandpass characteristics. Then in the second stage, called fine tuning, two different amplitude response errors are minimized in turn and then the resulting filter well approximate the ideal characteristics. Performance of the proposed tuning procedure is evaluated through some experiments of actual filter tuning.
URL: https://global.ieice.org/en_transactions/fundamentals/10.1587/transfun.E94.A.617/_p
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@ARTICLE{e94-a_2_617,
author={Yosuke TAKEUCHI, Koichi ICHIGE, Koichi MIYAMOTO, Yoshio EBINE, },
journal={IEICE TRANSACTIONS on Fundamentals},
title={Automated Microwave Filter Tuning Based on Successive Optimization of Phase and Amplitude Characteristics},
year={2011},
volume={E94-A},
number={2},
pages={617-624},
abstract={This paper presents a novel automated microwave filter tuning method based on successive optimization of phase and amplitude characteristics. We develop an optimization procedure to determine how much the adjusting screws of a filter should be rotated. The proposed filter tuning method consists of two stages; coarse and fine tuning stages. In the first stage, called coarse tuning, the phase response error of the target filter is minimized so that the filter roughly approximates almost ideal bandpass characteristics. Then in the second stage, called fine tuning, two different amplitude response errors are minimized in turn and then the resulting filter well approximate the ideal characteristics. Performance of the proposed tuning procedure is evaluated through some experiments of actual filter tuning.},
keywords={},
doi={10.1587/transfun.E94.A.617},
ISSN={1745-1337},
month={February},}
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TY - JOUR
TI - Automated Microwave Filter Tuning Based on Successive Optimization of Phase and Amplitude Characteristics
T2 - IEICE TRANSACTIONS on Fundamentals
SP - 617
EP - 624
AU - Yosuke TAKEUCHI
AU - Koichi ICHIGE
AU - Koichi MIYAMOTO
AU - Yoshio EBINE
PY - 2011
DO - 10.1587/transfun.E94.A.617
JO - IEICE TRANSACTIONS on Fundamentals
SN - 1745-1337
VL - E94-A
IS - 2
JA - IEICE TRANSACTIONS on Fundamentals
Y1 - February 2011
AB - This paper presents a novel automated microwave filter tuning method based on successive optimization of phase and amplitude characteristics. We develop an optimization procedure to determine how much the adjusting screws of a filter should be rotated. The proposed filter tuning method consists of two stages; coarse and fine tuning stages. In the first stage, called coarse tuning, the phase response error of the target filter is minimized so that the filter roughly approximates almost ideal bandpass characteristics. Then in the second stage, called fine tuning, two different amplitude response errors are minimized in turn and then the resulting filter well approximate the ideal characteristics. Performance of the proposed tuning procedure is evaluated through some experiments of actual filter tuning.
ER -