Improved micro-Doppler features extraction using Smoothed-Pseudo Wigner-Ville Distribution

Tan, Roger C. E.; Lim, Hock Siong; Smits, Adriaan B.; Harmanny, R. I. A.; Cifola, Lorenzo

doi:10.1109/tencon.2016.7848099

Cited by 20 publications

(6 citation statements)

References 2 publications

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“…Although the STFT has been widely and successfully deployed in the m-DS analysis, it is well-known that its time-frequency resolution is relatively low. As an attempt to resolve this low resolution issue, the authors of (Kim et al, 2002;Tan et al, 2016;Sun et al, 2019) utilized highresolution time-frequency analysis techniques such as the multiple signal classification (MUSIC) (Schmidt, 1986), the smoothed pseudo Wigner-Ville distribution (SPWVD) (Flandrin & Rioul, 1990) and the iterative adaptive approach (IAA) (Yardibi et al, 2010), respectively. With these alternatives, they achieved a high time-frequency resolution and thus a high classification accuracy.…”

Section: A Brief Literature Review On Time-frequency Analysis Methods Used For the M-ds Analysismentioning

confidence: 99%

A UAV classification system based on FMCW radar micro-Doppler signature analysis

Guo²,

Lin

2019

Expert Systems with Applications

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Section: A Brief Literature Review On Time-frequency Analysis Methods Used For the M-ds Analysismentioning

confidence: 99%

A UAV classification system based on FMCW radar micro-Doppler signature analysis

Guo²,

Lin

2019

Expert Systems with Applications

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“…The back-scattered signal provided by the EM solver has been firstly frequency modulated with an intermediate frequency f IF = 4.75 Hz. Then, the modulated signal has been postprocessed performing a STFT [10], a RE-Spect [11,12] and a WVD [13], in order to extract the five Doppler features. The first analysis focused on the STFT of the back-scattering response of the target walking straight toward the antenna.…”

Section: Time-frequency Analysis Of a Man Walkingmentioning

confidence: 99%

Features Extraction of the Doppler Frequency Signature of a Human Walking at 1 GHz

Manfredi

Ovarlez

Thirion-Lefevre

2019

IGARSS 2019 - 2019 IEEE International Geoscience and Remote Sensing Symposium

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A preliminary Doppler analysis in the UHF-band on a man walking in free space is presented in this paper. Firstly, the back-scattered response of the moving target has been provided at 1 GHz by a simulation tool based on physical optics theory. Then, a short-time Fourier transform (STFT), a reassignment spectrogram (RE-Spect) and a Wigner-Ville distribution (WVD) have been employed to the data, in order to characterize the micro-Doppler signature of the human body walking. The results are based entirely on numerical tests. The investigation on the time variations of the Doppler spectrum of moving targets in UHF-band is of interest for the emerging radar applications devoted to the detection and tracking of people in highly cluttered environment.

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“…Figure 1 shows the time frequency distributions of a 4-QAM modulated signal which is the addition of two separated signals with center frequencies of 11.52 MHz and 21.52 MHz, respectively. The four time frequency analysis methods are WVD [ 12 ], STFT [ 12 ], CWD [ 32 ], and SPWVD (Smoothed Pseudo Wigner-Ville Distribution, [ 33 ]). The simulation parameters are listed in Table 1 .…”

Section: Concept Of Time Frequency Analysis and Processingmentioning

confidence: 99%

Time-Frequency Energy Sensing of Communication Signals and Its Application in Co-Channel Interference Suppression

Liang

Sha

2018

Sensors

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As the number of mobile users and video traffics grow explosively, the data rate demands increase tremendously. To improve the spectral efficiency, the spectrum are reused inter cell or intra cell, such as the ultra dense network with multi-cell or the cellular network with Device-to-Device communications, where the co-channel interferences are brought and needs to be suppressed. According to the time-frequency energy sensing to the communication signals, the desired signal and the interference signal have different energy concentration areas on the time frequency plane, which provide opportunities to suppress the co-channel interference with time varying filter. This paper analyzes the time-frequency distributions of the Gaussian pulse shaping signals, discusses the effect of the analyzing window length on the time-frequency resolution, exploits the equivalence between the time frequency analysis at the baseband and at the radio front end, and finally reveals the advantages of the proposed masking threshold constrained time varying filter based co-channel interference mitigation method. The pass region for the linear time varying filter is generated according to the time-varying energy characteristics of the I/Q separated 4-QAM pulse shaping signals, where the optimum masking threshold is obtained by the optimum-BER criterion. The proposed co-channel interference suppression method is evaluated in aspect of BER performance, and simulation results show that the proposed method outperforms existing methods with low-pass or band-pass filters.

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Improved micro-Doppler features extraction using Smoothed-Pseudo Wigner-Ville Distribution

Cited by 20 publications

References 2 publications

A UAV classification system based on FMCW radar micro-Doppler signature analysis

A UAV classification system based on FMCW radar micro-Doppler signature analysis

Features Extraction of the Doppler Frequency Signature of a Human Walking at 1 GHz

Time-Frequency Energy Sensing of Communication Signals and Its Application in Co-Channel Interference Suppression

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