Fractional time delay estimation algorithm based on the maximum correntropy criterion and the Lagrange FDF

Yu, Ling; Qiu, Tianshuang; Luan, Shengyang

doi:10.1016/j.sigpro.2014.12.018

Cited by 11 publications

(1 citation statement)

References 14 publications

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“…To minimize the error between the desired signal and the output of adaptive filters, correntropy is another popular cost function used to train the filter weights [16,17]. As a localized similarity measure, a correntropy-based algorithm can provide better performance [18,19].…”

Section: Introductionmentioning

confidence: 99%

Adaptive time delay estimation algorithm for indoor near‐field electromagnetic ranging

Wang

Zhang

Sun

et al. 2016

Int J Communication

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SUMMARYThe near-field electromagnetic ranging technology exploits the near-field behavior of radio signals to measure distance in indoor real-time location system. In this paper, we propose a new adaptive timedelay estimation algorithm based on maximum correntropy criterion (MCC) and received signal strength indication (RSSI), abbreviated as RSSIMCC. The proposed RSSIMCC algorithm estimates the time delay between the electric and magnetic components of low-frequency signals in the near field instead of detecting the phase difference. An inaccurate time-delay estimation value obtained according to the RSSI is used as the initial time delay of adaptive time-delay estimator, which is not far from the true time delay and can improve the convergence speed. Through the analysis of simulation and experiment results, we conclude that the proposed RSSIMCC algorithm can estimate the time delay with small steady-state error in nearfield electromagnetic ranging application. Then the time delay estimated by RSSIMCC algorithm can be exploited based on the near-field behavior of radio signals for ranging in an indoor environment. Copyright

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Section: Introductionmentioning

confidence: 99%

Adaptive time delay estimation algorithm for indoor near‐field electromagnetic ranging

Wang

Zhang

Sun

et al. 2016

Int J Communication

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FPGA implementation of adaptive time delay estimation for real‐time near‐field electromagnetic ranging

Wang

Zhang

Liu

et al. 2018

Circuit Theory & Apps

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SummaryThe near‐field electromagnetic ranging systems exploit the near‐field phase behavior of low frequency signals for indoor real‐time ranging. Conventionally, phase detector is used to determine the phase of electric and magnetic fields. Subsequently, the phase difference is used to estimate a distance value. In adaptive time delay estimation approach, the time delay between electric and magnetic signals is used instead of phase difference for an estimation. This method does not require a priori knowledge of the transmitting signals and can obtain better performance in low signal‐to‐noise ratio environment. In this paper, we propose a digital near‐field electromagnetic ranging system design and implement it on field‐programmable gate array. This system is composed of time delay estimator, frequency estimator, and received signal strength indicator. A maximum correntropy criterion–based explicit time delay estimation algorithm with a delay in the coefficient update is implemented to estimate the time delay in real time. The fast Fourier transform and received signal strength indicator modules determine the signal frequency and the signal strength received, respectively. Our experimental results indicate that the delayed maximum correntropy criterion–based explicit time delay estimation algorithm has fast convergence rate and good steady‐state performance in an impulsive noise environment.

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Bearing Fault Detection Based on Correntropy and Hermitian Wavelet Transform

Dai

2023

Lecture Notes in Electrical Engineering

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Fractional time delay estimation algorithm based on the maximum correntropy criterion and the Lagrange FDF

Cited by 11 publications

References 14 publications

Adaptive time delay estimation algorithm for indoor near‐field electromagnetic ranging

Adaptive time delay estimation algorithm for indoor near‐field electromagnetic ranging

FPGA implementation of adaptive time delay estimation for real‐time near‐field electromagnetic ranging

Bearing Fault Detection Based on Correntropy and Hermitian Wavelet Transform

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