IF estimation of FSK signals using adaptive smoothed windowed cross Wigner–Ville distribution

Chee, Yen Mei; Sha’ameri, Ahmad Zuri; Zabidi, Muhammad Mun'im Ahmad

doi:10.1016/j.sigpro.2013.12.031

Cited by 8 publications

(3 citation statements)

References 20 publications

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“…We choose the modulation order M ∈ (2,4,8). We compare our generalized cyclostationarity-based algorithm (GCS) with first-order cyclostationarity-based algorithm (FCS) in [11] and the time-frequency analysis-based algorithm (TFA) in [15]. The results are plotted in Figs.…”

Section: A Performance Of Proposed Estimation Algorithmmentioning

confidence: 99%

“…In addition, the time-frequency analysis is exploited to estimate parameters of FSK signal. In [15], Chee et al presented an estimator based on time-frequency analysis for the instantaneous frequency estimation of FSK signals in AWGN channel. This method exploited the adaptive smooth windowed cross Wigner-Ville distribution to achieve the instantaneous frequency estimation.…”

Section: Introductionmentioning

confidence: 99%

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Blind Parameter Estimation of M-FSK Signals in the Presence of Alpha-Stable Noise

Zhang

Zhao

Liu

et al. 2020

IEEE Trans. Commun.

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Section: A Performance Of Proposed Estimation Algorithmmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Blind Parameter Estimation of M-FSK Signals in the Presence of Alpha-Stable Noise

Zhang

Zhao

Liu

et al. 2020

IEEE Trans. Commun.

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show abstract

“…Therefore, it is necessary to construct the adaptive kernel function. At present, some adaptive kernel functions [20][21][22][23][24][25][26][27][28][29] have been constructed according to design criteria of adaptive optimal kernel proposed by Baraniuk and Jones. 20,21 Adaptive kernel function can be optimized to suppress the cross-terms adaptively according to the signal distribution, and their time-frequency resolution is not affected.…”

Section: Introductionmentioning

confidence: 99%

Adaptive radial sinc kernel distribution and its application in mechanical fault diagnosis

Zhu

Chu

et al. 2016

Proceedings of the Institution of Mechanical Engineers, Part C:

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Based on the deficiency of fixed-kernel in the traditional time–frequency distribution, which is lack of adaptability, a new adaptive kernel function, which is named as the adaptive radial sinc kernel, is proposed according to design criteria of adaptive optimal kernel. The definition and algorithm of radial sinc kernel are given, and the proposed method is compared with the tradition time–frequency distribution. The simulation results show that the proposed method is superior to the traditional fixed-kernel functions, such as Wigner–Ville distribution, Choi–Williams distribution, cone-kernel distribution and continuous wavelet transform. The adaptive radial sinc kernel can overcome the deficiency of fixed-kernel function in traditional time–frequency distribution, adopt the optimizing method to filter the cross-terms adaptively according to the signal distribution, obtain good time–frequency resolution and has extensive adaptability for an arbitrary signal. Finally, the proposed method has been applied to the fault diagnosis of rolling bearing, and the experiment result shows that the proposed method is very effective.

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Time-Frequency Methods in Communications

Amin

Lindsey

Sayeed³

et al. 2016

Time-Frequency Signal Analysis and Processing

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IF estimation of FSK signals using adaptive smoothed windowed cross Wigner–Ville distribution

Cited by 8 publications

References 20 publications

Blind Parameter Estimation of M-FSK Signals in the Presence of Alpha-Stable Noise

Blind Parameter Estimation of M-FSK Signals in the Presence of Alpha-Stable Noise

Adaptive radial sinc kernel distribution and its application in mechanical fault diagnosis

Time-Frequency Methods in Communications

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