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Adaptive Modulation Tracking for High-Precision Time-Delay Estimation in Multipath HF Channels
by
Wu, Huabing
, Ji, Qiwei
in
Algorithms
/ Analysis
/ Communication
/ Comparative analysis
/ Decomposition
/ delay lock loop (DLL)
/ Doppler effect
/ Fourier transforms
/ high frequency (HF)
/ Ionosphere
/ Methods
/ Mobile communication systems
/ Parameter estimation
/ Propagation
/ Signal processing
/ Simulation
/ Stochastic models
/ Technology application
/ time-delay estimation (TDE)
/ time-of-arrival (TOA)
/ Wireless communication systems
2025
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Adaptive Modulation Tracking for High-Precision Time-Delay Estimation in Multipath HF Channels
by
Wu, Huabing
, Ji, Qiwei
in
Algorithms
/ Analysis
/ Communication
/ Comparative analysis
/ Decomposition
/ delay lock loop (DLL)
/ Doppler effect
/ Fourier transforms
/ high frequency (HF)
/ Ionosphere
/ Methods
/ Mobile communication systems
/ Parameter estimation
/ Propagation
/ Signal processing
/ Simulation
/ Stochastic models
/ Technology application
/ time-delay estimation (TDE)
/ time-of-arrival (TOA)
/ Wireless communication systems
2025
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Do you wish to request the book?
Adaptive Modulation Tracking for High-Precision Time-Delay Estimation in Multipath HF Channels
by
Wu, Huabing
, Ji, Qiwei
in
Algorithms
/ Analysis
/ Communication
/ Comparative analysis
/ Decomposition
/ delay lock loop (DLL)
/ Doppler effect
/ Fourier transforms
/ high frequency (HF)
/ Ionosphere
/ Methods
/ Mobile communication systems
/ Parameter estimation
/ Propagation
/ Signal processing
/ Simulation
/ Stochastic models
/ Technology application
/ time-delay estimation (TDE)
/ time-of-arrival (TOA)
/ Wireless communication systems
2025
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Adaptive Modulation Tracking for High-Precision Time-Delay Estimation in Multipath HF Channels
Journal Article
Adaptive Modulation Tracking for High-Precision Time-Delay Estimation in Multipath HF Channels
2025
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Overview
High-frequency (HF) communication is critical for applications such as over-the-horizon positioning and ionospheric detection. However, precise time-delay estimation in complex HF channels faces significant challenges from multipath fading, Doppler shifts, and noise. This paper proposes a Modulation Signal-based Adaptive Time-Delay Estimation (MATE) algorithm, which effectively decouples carrier and modulation signals and integrates phase-locked loop (PLL) and delay-locked loop (DLL) techniques. By leveraging the autocorrelation properties of 8PSK (Eight-Phase Shift Keying) signals, MATE compensates for carrier frequency deviations and mitigates multipath interference. Simulation results based on the Watterson channel model demonstrate that MATE achieves an average time-delay estimation error of approximately 0.01 ms with a standard deviation of approximately 0.01 ms, representing a 94.12% reduction in mean error and a 96.43% reduction in standard deviation compared to the traditional Generalized Cross-Correlation (GCC) method. Validation with actual measurement data further confirms the robustness of MATE against channel variations. MATE offers a high-precision, low-complexity solution for HF time-delay estimation, significantly benefiting applications in HF communication systems. This advancement is particularly valuable for enhancing the accuracy and reliability of time-of-arrival (TOA) detection in HF-based sensor networks and remote sensing systems.
Publisher
MDPI AG,MDPI
Subject
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