The Unscented Kalman Filter Estimators for High Dynamic Doppler Shift Environments

Kun Zhao; Ke Gang Pan; Ai Jun Liu; Dao Xing Guo

doi:10.4028/www.scientific.net/AMR.532-533.1487

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HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 532-533The Unscented Kalman Filter Estimators for High...

The Unscented Kalman Filter Estimators for High Dynamic Doppler Shift Environments

Abstract:

The Extend Kalman Filter (EKF) is widely used in the tracking of high dynamic Doppler shift trajectories, but it has some flows when it is used to estimate the state of nonlinear systems. In this paper, we apply the Unscented Transformation (UT) based Unscented Kalman Filter (UKF) to the state estimation in the high dynamic Doppler environments. Two versions of the UKF estimators, augmented UKF estimator and nonaugemented UKF estimator are designed. To compare the performance of them, they are applied to tracking a common high dynamic trajectory, and simulation results declare that given different conditions, the performance of the estimators will be different.

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Periodical:

Advanced Materials Research (Volumes 532-533)

Pages:

1487-1491

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.532-533.1487

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Online since:

June 2012

Authors:

Kun Zhao, Ke Gang Pan, Ai Jun Liu, Dao Xing Guo

Keywords:

Augmented, Doppler Shift, High Dynamic, Nonaugmented, UKF, Unscented Transfor-Mation

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