Pulse Arrival Time Estimation Based on Multi-Level Crossing Timing and Receiver Training

Zhen YAO; Hong MA; Cheng-Guo LIANG; Li CHENG

doi:10.1587/transcom.E97.B.1984

Pulse Arrival Time Estimation Based on Multi-Level Crossing Timing and Receiver Training

Zhen YAO, Hong MA, Cheng-Guo LIANG, Li CHENG

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An accurate time-of-arrival (TOA) estimation method for isolated pulses positioning system is proposed in this paper. The method is based on a multi-level crossing timing (MCT) digitizer and least square (LS) criterion, namely LS-MCT method, in which TOA of the received signal is directly described as a parameterized combination of a set of MCT samples of the leading and trailing edges of the signal. The LS-MCT method performs a receiver training process, in which a GPS synchronized training pulse generator (TPG) is used to obtain training data and determine the parameters of the TOA combination. The LS method is then used to optimize the combination parameters with a minimization criterion. The proposed method is compared to the conventional TOA estimation methods such as leading edge level crossing discriminator (LCD), adaptive thresholding (ATH), and signal peak detection (PD) methods. Simulation results show that the proposed algorithm leads to lower sensitivity to signal-to-noise ratio (SNR) and attains better TOA estimation accuracy than available TOA methods.

Publication: IEICE TRANSACTIONS on Communications Vol.E97-B No.9 pp.1984-1989

Publication Date: 2014/09/01

Publicized

Online ISSN: 1745-1345

DOI: 10.1587/transcom.E97.B.1984

Type of Manuscript: PAPER

Category: Sensing

Authors

Zhen YAO
  Huazhong University of Science and Technology
Hong MA
  Huazhong University of Science and Technology
Cheng-Guo LIANG
  Huazhong University of Science and Technology
Li CHENG
  Huazhong University of Science and Technology

Keyword

time-of-arrival, multi-level crossing timing, least square optimization, positioning system, location accuracy

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Zhen YAO, Hong MA, Cheng-Guo LIANG, Li CHENG, "Pulse Arrival Time Estimation Based on Multi-Level Crossing Timing and Receiver Training" in IEICE TRANSACTIONS on Communications, vol. E97-B, no. 9, pp. 1984-1989, September 2014, doi: 10.1587/transcom.E97.B.1984.
Abstract: An accurate time-of-arrival (TOA) estimation method for isolated pulses positioning system is proposed in this paper. The method is based on a multi-level crossing timing (MCT) digitizer and least square (LS) criterion, namely LS-MCT method, in which TOA of the received signal is directly described as a parameterized combination of a set of MCT samples of the leading and trailing edges of the signal. The LS-MCT method performs a receiver training process, in which a GPS synchronized training pulse generator (TPG) is used to obtain training data and determine the parameters of the TOA combination. The LS method is then used to optimize the combination parameters with a minimization criterion. The proposed method is compared to the conventional TOA estimation methods such as leading edge level crossing discriminator (LCD), adaptive thresholding (ATH), and signal peak detection (PD) methods. Simulation results show that the proposed algorithm leads to lower sensitivity to signal-to-noise ratio (SNR) and attains better TOA estimation accuracy than available TOA methods.
URL: https://globals.ieice.org/en_transactions/communications/10.1587/transcom.E97.B.1984/_p

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@ARTICLE{e97-b_9_1984,
author={Zhen YAO, Hong MA, Cheng-Guo LIANG, Li CHENG, },
journal={IEICE TRANSACTIONS on Communications},
title={Pulse Arrival Time Estimation Based on Multi-Level Crossing Timing and Receiver Training},
year={2014},
volume={E97-B},
number={9},
pages={1984-1989},
abstract={An accurate time-of-arrival (TOA) estimation method for isolated pulses positioning system is proposed in this paper. The method is based on a multi-level crossing timing (MCT) digitizer and least square (LS) criterion, namely LS-MCT method, in which TOA of the received signal is directly described as a parameterized combination of a set of MCT samples of the leading and trailing edges of the signal. The LS-MCT method performs a receiver training process, in which a GPS synchronized training pulse generator (TPG) is used to obtain training data and determine the parameters of the TOA combination. The LS method is then used to optimize the combination parameters with a minimization criterion. The proposed method is compared to the conventional TOA estimation methods such as leading edge level crossing discriminator (LCD), adaptive thresholding (ATH), and signal peak detection (PD) methods. Simulation results show that the proposed algorithm leads to lower sensitivity to signal-to-noise ratio (SNR) and attains better TOA estimation accuracy than available TOA methods.},
keywords={},
doi={10.1587/transcom.E97.B.1984},
ISSN={1745-1345},
month={September},}

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TY - JOUR
TI - Pulse Arrival Time Estimation Based on Multi-Level Crossing Timing and Receiver Training
T2 - IEICE TRANSACTIONS on Communications
SP - 1984
EP - 1989
AU - Zhen YAO
AU - Hong MA
AU - Cheng-Guo LIANG
AU - Li CHENG
PY - 2014
DO - 10.1587/transcom.E97.B.1984
JO - IEICE TRANSACTIONS on Communications
SN - 1745-1345
VL - E97-B
IS - 9
JA - IEICE TRANSACTIONS on Communications
Y1 - September 2014
AB - An accurate time-of-arrival (TOA) estimation method for isolated pulses positioning system is proposed in this paper. The method is based on a multi-level crossing timing (MCT) digitizer and least square (LS) criterion, namely LS-MCT method, in which TOA of the received signal is directly described as a parameterized combination of a set of MCT samples of the leading and trailing edges of the signal. The LS-MCT method performs a receiver training process, in which a GPS synchronized training pulse generator (TPG) is used to obtain training data and determine the parameters of the TOA combination. The LS method is then used to optimize the combination parameters with a minimization criterion. The proposed method is compared to the conventional TOA estimation methods such as leading edge level crossing discriminator (LCD), adaptive thresholding (ATH), and signal peak detection (PD) methods. Simulation results show that the proposed algorithm leads to lower sensitivity to signal-to-noise ratio (SNR) and attains better TOA estimation accuracy than available TOA methods.
ER -