Novel Adaptive Peak Detection Method for Track Circuits Based on Encoded Transmissions

Yuan, Lei; Yang, Yuan; Hernández, Álvaro; Shi, Lin

doi:10.1109/jsen.2018.2845112

Cited by 8 publications

(15 citation statements)

References 30 publications

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“…For getting better performance, a suitable selection of the window length is crucial. In general, the window length is taken as much as the mainlobe width of correlation results [24]. If the window length is too small, then it generates multiple envelopes for a single correlation peak, resulting in producing extra positive zero-crossing points in the transformed signal by using HT.…”

Section: ) Smooth Unipolar Envelope Extractionmentioning

confidence: 99%

“…The comparison of the proposed peak detection algorithm and the novel adaptive peak detection method proposed in [24] is performed. This peak detection method is mainly based on the discrete wavelet transform (DWT), on a moving average filter, as well as on the Hilbert Transform.…”

Section: ) Comparative Analysis Of the Proposed Peak Detection Algormentioning

confidence: 99%

“…20b, it is obvious that the two peak detection algorithms can accurately identify the peaks. In addition, compared to the peak detection method based on DWT [24], the signal amplitude through the MA filter is larger for the proposed peak detection algorithm. The total processing time for two peak detection methods and the processing time of DWT and DBTF are calculated by using the following platform:…”

Section: ) Comparative Analysis Of the Proposed Peak Detection Algormentioning

confidence: 99%

“…An automated R-peaks detection method based on wavelet transform and Hilbert transform was described in [23]. Furthermore, by using discrete wavelet transform and Hilbert transform, a novel adaptive peak detection algorithm for track circuits based on encoded transmissions was shown in [24]. But these algorithms either require some amplitude thresholds or have high complexity which cannot meet the real-time requirement of the broken rail detection systems based on UGW.…”

Section: Introductionmentioning

confidence: 99%

“…The performance comparison of the peak detection method[24] and this work for the case of 20 carrier cycles and a test distance of 100 m, Gaussian noise SNR=−20 dB. The performance comparison of the peak detection method[24] and this work for the case of 20 carrier cycles and a test distance of 200 m, Gaussian noise SNR=−20 dB.…”

mentioning

confidence: 97%

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An Adaptive Peak Detection Method for Inspection of Breakages in Long Rails by Using Barker Coded UGW

et al. 2020

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For a broken rail detection system based on ultrasonic guided waves (UGW), the multimodal and dispersion of UGW degrade signal-to-noise ratio (SNR) and range resolution. To improve SNR of the received signals and range resolution, the pulse compression technique based on 13-bit Barker code is presented in this work. Through a PSpice model of the pitch-catch setup, as well as performing field tests, it is shown that coded UGW signals can efficiently improve SNR by 5 dB and have strong noise immunity. As the detection distance increases, the mainlobe width increases linearly while the sidelobe peak levels remain basically unchanged. In addition, to correctly and quickly identify the corresponding transmissions at the receivers, an adaptive peak detection algorithm is proposed, which is based on a digital bandpass tracking filter, moving averaging filters and Hilbert transform. By using some field tests under different detection distances, it is found that compared to the previous works, the proposed adaptive peak detection algorithm has stronger robustness and better anti-noise performance. In addition, the proposed method is easy to integrate into a real-time detection system by proper software design. INDEX TERMS Peaks detection, barker code, pulse compression, long rail breakages detection, UGW.

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Section: ) Smooth Unipolar Envelope Extractionmentioning

confidence: 99%

Section: ) Comparative Analysis Of the Proposed Peak Detection Algormentioning

confidence: 99%

Section: ) Comparative Analysis Of the Proposed Peak Detection Algormentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

mentioning

confidence: 97%

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An Adaptive Peak Detection Method for Inspection of Breakages in Long Rails by Using Barker Coded UGW

et al. 2020

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Damage detection method for square steel tube based on CS-NME algorithm via ultrasonic guided waves

Yang,

Zhou

2024

Measurement

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Interference to Signalling Caused by Rolling Stock: Uncertainty and Variability on a Test Case

Bhagat,

Mariscotti

2024

Preprint

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The demonstration of compliance of rolling stock against disturbance limits for railway signaling, and in particular track circuits, is subject to a large deal of variability, caused by the diverse values of the electrical parameters of the railway line and resulting transfer functions, as well as operating conditions of rolling stock during tests. Instrumental uncertainty is evaluated with a Type B approach and shown to be much less than the experimental variability. Repeated test runs in acceleration, coasting, cruising, braking conditions are considered, deriving both max-hold (spread) and sample dispersion curves compared to the respective mean values (Type A approach to the evaluation of uncertainty). The major source of variability affecting a significant portion of the spectrum is caused by the superposed oscillations of the onboard LC filter, for which different choices of the transformation window duration are discussed. The test runs and the acquired data covered overall 1 day of tests along about 300 km of the Italian 3 kV DC railway network.

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Novel Adaptive Peak Detection Method for Track Circuits Based on Encoded Transmissions

Cited by 8 publications

References 30 publications

An Adaptive Peak Detection Method for Inspection of Breakages in Long Rails by Using Barker Coded UGW

An Adaptive Peak Detection Method for Inspection of Breakages in Long Rails by Using Barker Coded UGW

Damage detection method for square steel tube based on CS-NME algorithm via ultrasonic guided waves

Interference to Signalling Caused by Rolling Stock: Uncertainty and Variability on a Test Case

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