Non-data-aided Extended Kalman Filter based carrier tracking loop in high dynamic environment

Tian Tian; Jian Ping An; Ai Hua Wang

doi:10.3724/SP.J.1146.2012.00012

Non-data-aided Extended Kalman Filter based carrier tracking loop in high dynamic environment

Tian Tian, Jian Ping An, Ai Hua Wang^*

^*Corresponding author for this work

Research output: Contribution to journal › Article › peer-review

2 Citations (Scopus)

Abstract

This paper proposes a new carrier tracking loop based on Extended Kalman Filter (EKF) with no data aided in low Signal-to-Noise Ratio (SNR) and high dynamic environment. It utilizes the outputs of accumulator after symbol decision as the observation matrix of EKF. With this method, the restriction generated by using discriminators in low SNR can be avoided. The simulations show that the structure proposed has excellent characteristics compared with Phase Lock Loop (PLL) and linear Kalman Filter (KF) assisted with phase discriminator.

Original language	English
Pages (from-to)	63-67
Number of pages	5
Journal	Dianzi Yu Xinxi Xuebao/Journal of Electronics and Information Technology
Volume	35
Issue number	1
DOIs	https://doi.org/10.3724/SP.J.1146.2012.00012
Publication status	Published - Jan 2013

Keywords

Carrier tracking
Extended Kalman Filter (EKF)
Global Positioning System (GPS)
High dynamic
Low signal-to-noise ratio
Symbol decision

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10.3724/SP.J.1146.2012.00012

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abstract = "This paper proposes a new carrier tracking loop based on Extended Kalman Filter (EKF) with no data aided in low Signal-to-Noise Ratio (SNR) and high dynamic environment. It utilizes the outputs of accumulator after symbol decision as the observation matrix of EKF. With this method, the restriction generated by using discriminators in low SNR can be avoided. The simulations show that the structure proposed has excellent characteristics compared with Phase Lock Loop (PLL) and linear Kalman Filter (KF) assisted with phase discriminator.",

keywords = "Carrier tracking, Extended Kalman Filter (EKF), Global Positioning System (GPS), High dynamic, Low signal-to-noise ratio, Symbol decision",

author = "Tian Tian and An, {Jian Ping} and Wang, {Ai Hua}",

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AU - An, Jian Ping

AU - Wang, Ai Hua

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AB - This paper proposes a new carrier tracking loop based on Extended Kalman Filter (EKF) with no data aided in low Signal-to-Noise Ratio (SNR) and high dynamic environment. It utilizes the outputs of accumulator after symbol decision as the observation matrix of EKF. With this method, the restriction generated by using discriminators in low SNR can be avoided. The simulations show that the structure proposed has excellent characteristics compared with Phase Lock Loop (PLL) and linear Kalman Filter (KF) assisted with phase discriminator.

KW - Carrier tracking

KW - Extended Kalman Filter (EKF)

KW - Global Positioning System (GPS)

KW - High dynamic

KW - Low signal-to-noise ratio

KW - Symbol decision

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JF - Dianzi Yu Xinxi Xuebao/Journal of Electronics and Information Technology

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Non-data-aided Extended Kalman Filter based carrier tracking loop in high dynamic environment

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Keywords

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