In this paper, we demonstrate the advantage of applying a Kalman filter for the parameter estimation in very-long-baseline interferometry (VLBI) data analysis. We present the implementation of a Kalman filter in the VLBI software VieVS@GFZ. The performance is then investigated by looking at the accuracy obtained for various parameters, like baseline lengths, Earth Orientation Parameters, radio ...

A new parameter estimation algorithm based on ensemble Kalman filter (EnKF) is developed. The developed algorithm combined with the proposed problem parametrization offers an efficient parameter estimation method that converges using very small ensembles. The inverse problem is formulated as a sequential data integration problem. Gaussian Process Regression (GRP) is used to integrate the prior ...

In this paper we describe a generic receiver as a single channel S-band receiver and it is composed of two modules. The first module (down converter) consists of an input band pass filter, LNA, image rejection filter and down-converter with a PLL local oscillator. The second module consists of the IF module derived from the VHF receiver. The IF module consists of a low pass filter, 20MHz band p...

Abstract This paper proposes an Equivariant Filtering (EqF) framework for the inertial-integrated state estimation. As kinematic system of navigation can be naturally modeled on matrix Lie group SE 2 (3), symmetry exploited to design equivariant filter which extends invariant extended Kalman filtering group-affine and overcomes inconsitency issue traditional extend filter. We firstly formulate ...

one of the common problems in reflection seismic records in the land is the existence of surface waves with high amplitude and low frequency which cause the most important parts of reflective signals to be masked. therefore, it is necessary to attenuate them by processing and acquisition methods. as it is impossible to attenuate the surface waves completely, and sometimes it is likely to damage...

Modeling the impact of drought on canopy carbon and water fluxes through parameter optimization using an ensemble Kalman filter W. Ju, S. Wang, G. Yu, Y. Zhou, and H. Wang International Institute for Earth System Science, Nanjing University, Nanjing 210093, China Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China School of Geograp...

An integrated GPS-GSM system is proposed to track vehicles using Google Earth application. The remote module has a GPS mounted on the moving vehicle to identify its current position, and to be transferred by GSM with other parameters acquired by the automobile’s data port as an SMS to a recipient station. The received GPS coordinates are filtered using a Kalman filter to enhance the accuracy of...

A B S T R A C T Data assimilation methods that work in high dimensional systems are crucial to many areas of the geosciences: meteorology, oceanography, climate science etc. The equivalent weights particle filter has been designed, and has recently been shown to, scale to problems that are of use to these communities. This article performs a systematic comparison of the equivalent weights parti...

Oa ∂k ∂rk (φrn−1)dσ . Taking the Fourier transform of the distribution and the integral representation of the Bessel function, we obtain asymptotic expansions of δ(k)(r −a) for k = 0, 1, 2, . . . in terms of △j δ(x1, . . . , xn), in order to show the well-known Pizetti formula by a new method. Furthermore, we derive an asymptotic product of φ(x1, . . . , xn) δ(k)(r − a), where φ is an infinitel...