A Frequency-Compensation Algorithm in Kalman Filter-Based Tracking Loop for High-Dynamics GNSS Receivers

2016 ◽  
Author(s):  
Jiannan Shen ◽  
Xiaowei Cui ◽  
Yonghui Zhu ◽  
Mingquan Lu
Keyword(s):  
Kalman Filter ◽  
Frequency Compensation ◽  
Tracking Loop ◽  
Compensation Algorithm ◽  
Gnss Receivers ◽  
High Dynamics

scholarly journals The Explicit Tuning Investigation and Validation of a Full Kalman Filter-Based Tracking Loop in GNSS Receivers

IEEE Access ◽  
2019 ◽  
Vol 7 ◽  
pp. 111487-111498 ◽  
Author(s):  
Xinhua Tang ◽  
Xin Chen ◽  
Zhonghai Pei ◽  
Peng Wang
Keyword(s):  
Kalman Filter ◽  
Tracking Loop ◽  
Gnss Receivers

scholarly journals Robust Adaptive Cubature Kalman Filter and Its Application to Ultra-Tightly Coupled SINS/GPS Navigation System

Sensors ◽  
2018 ◽  
Vol 18 (7) ◽  
pp. 2352 ◽  
Author(s):  
Xin Zhao ◽  
Jianli Li ◽  
Xunliang Yan ◽  
Shaowen Ji
Keyword(s):  
Kalman Filter ◽  
Navigation System ◽  
Kinematic Model ◽  
Tracking Performance ◽  
Typical Application ◽  
Gross Error ◽  
Cubature Kalman Filter ◽  
Tightly Coupled ◽  
Robust Adaptive ◽  
High Dynamics

In this paper, we propose a robust adaptive cubature Kalman filter (CKF) to deal with the problem of an inaccurately known system model and noise statistics. In order to overcome the kinematic model error, we introduce an adaptive factor to adjust the covariance matrix of state prediction, and process the influence introduced by dynamic disturbance error. Aiming at overcoming the abnormality error, we propose the robust estimation theory to adjust the CKF algorithm online. The proposed adaptive CKF can detect the degree of gross error and subsequently process it, so the influence produced by the abnormality error can be solved. The paper also studies a typical application system for the proposed method, which is the ultra-tightly coupled navigation system of a hypersonic vehicle. Highly dynamical scene experimental results show that the proposed method can effectively process errors aroused by the abnormality data and inaccurate model, and has better tracking performance than UKF and CKF tracking methods. Simultaneously, the proposed method is superior to the tracing method based on a single-modulating loop in the tracking performance. Thus, the stable and high-precision tracking for GPS satellite signals are preferably achieved and the applicability of the system is promoted under the circumstance of high dynamics and weak signals. The effectiveness of the proposed method is verified by a highly dynamical scene experiment.

Phase Noise Compensation Algorithm of CO-OFDM System Based on Unscented Kalman Filter

2017 ◽  
Vol 44 (11) ◽  
pp. 1106010
Author(s):  
董月军 Dong Yuejun ◽  
唐英杰 Tang Yingjie ◽  
任宏亮 Ren Hongliang ◽  
卢 瑾 Lu Jin ◽  
覃亚丽 Qin Yali ◽  
...  
Keyword(s):  
Kalman Filter ◽  
Phase Noise ◽  
Unscented Kalman Filter ◽  
Ofdm System ◽  
Noise Compensation ◽  
Compensation Algorithm
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