The original paper is in English. Non-English content has been machine-translated and may contain typographical errors or mistranslations. ex. Some numerals are expressed as "XNUMX".
Copyrights notice
The original paper is in English. Non-English content has been machine-translated and may contain typographical errors or mistranslations. Copyrights notice
단일 주파수 및 다중 주파수 신호의 매개변수를 추정하기 위해 윈도우 보간 DFT 방법이 활용되었습니다. 그럼에도 불구하고, 이는 양의 주파수와 음의 주파수가 밀접하게 배치된 실수 값 정현파에 대해서는 잘 작동하지 않습니다. 본 논문에서는 실수 값 정현파 신호의 주파수 측정을 위한 새로운 XNUMX점 윈도우 보간 DFT 방법을 설명합니다. MSDW(최대 사이드로브 감쇠 창)를 사용하여 창 있는 DFT의 정확한 표현이 구성됩니다. 추정 성능을 향상시키기 위해 양의 주파수와 음의 주파수의 스펙트럼 중첩이 고려되고 계산됩니다. 시뮬레이션 결과는 이론값과 잘 일치합니다. 또한 컴퓨터 시뮬레이션을 통해 제안된 알고리즘이 높은 추정 정확도와 우수한 잡음 억제 기능을 제공한다는 것을 보여줍니다.
Kai WANG
Southeast University
Yiting GAO
Southeast University
Lin ZHOU
Southeast University
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Kai WANG, Yiting GAO, Lin ZHOU, "A Novel Three-Point Windowed Interpolation DFT Method for Frequency Measurement of Real Sinusoid Signal" in IEICE TRANSACTIONS on Fundamentals,
vol. E102-A, no. 12, pp. 1940-1945, December 2019, doi: 10.1587/transfun.E102.A.1940.
Abstract: The windowed interpolation DFT methods have been utilized to estimate the parameters of a single frequency and multi-frequency signal. Nevertheless, they do not work well for the real-valued sinusoids with closely spaced positive- and negative- frequency. In this paper, we describe a novel three-point windowed interpolation DFT method for frequency measurement of real-valued sinusoid signal. The exact representation of the windowed DFT with maximum sidelobe decay window (MSDW) is constructed. The spectral superposition of positive- and negative-frequency is considered and calculated to improve the estimation performance. The simulation results match with the theoretical values well. In addition, computer simulations demonstrate that the proposed algorithm provides high estimation accuracy and good noise suppression capability.
URL: https://global.ieice.org/en_transactions/fundamentals/10.1587/transfun.E102.A.1940/_p
부
@ARTICLE{e102-a_12_1940,
author={Kai WANG, Yiting GAO, Lin ZHOU, },
journal={IEICE TRANSACTIONS on Fundamentals},
title={A Novel Three-Point Windowed Interpolation DFT Method for Frequency Measurement of Real Sinusoid Signal},
year={2019},
volume={E102-A},
number={12},
pages={1940-1945},
abstract={The windowed interpolation DFT methods have been utilized to estimate the parameters of a single frequency and multi-frequency signal. Nevertheless, they do not work well for the real-valued sinusoids with closely spaced positive- and negative- frequency. In this paper, we describe a novel three-point windowed interpolation DFT method for frequency measurement of real-valued sinusoid signal. The exact representation of the windowed DFT with maximum sidelobe decay window (MSDW) is constructed. The spectral superposition of positive- and negative-frequency is considered and calculated to improve the estimation performance. The simulation results match with the theoretical values well. In addition, computer simulations demonstrate that the proposed algorithm provides high estimation accuracy and good noise suppression capability.},
keywords={},
doi={10.1587/transfun.E102.A.1940},
ISSN={1745-1337},
month={December},}
부
TY - JOUR
TI - A Novel Three-Point Windowed Interpolation DFT Method for Frequency Measurement of Real Sinusoid Signal
T2 - IEICE TRANSACTIONS on Fundamentals
SP - 1940
EP - 1945
AU - Kai WANG
AU - Yiting GAO
AU - Lin ZHOU
PY - 2019
DO - 10.1587/transfun.E102.A.1940
JO - IEICE TRANSACTIONS on Fundamentals
SN - 1745-1337
VL - E102-A
IS - 12
JA - IEICE TRANSACTIONS on Fundamentals
Y1 - December 2019
AB - The windowed interpolation DFT methods have been utilized to estimate the parameters of a single frequency and multi-frequency signal. Nevertheless, they do not work well for the real-valued sinusoids with closely spaced positive- and negative- frequency. In this paper, we describe a novel three-point windowed interpolation DFT method for frequency measurement of real-valued sinusoid signal. The exact representation of the windowed DFT with maximum sidelobe decay window (MSDW) is constructed. The spectral superposition of positive- and negative-frequency is considered and calculated to improve the estimation performance. The simulation results match with the theoretical values well. In addition, computer simulations demonstrate that the proposed algorithm provides high estimation accuracy and good noise suppression capability.
ER -