Kalman filtering, also known as linear quadratic estimation (LQE), is an algorithm that uses a series of measurements observed over time, containing… (More)

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Highly Cited

2009

Highly Cited

2009

- Ienkaran Arasaratnam, Simon Haykin
- IEEE Transactions on Automatic Control
- 2009

In this paper, we present a new nonlinear filter for high-dimensional state estimation, which we have named the <i>cubature</i… (More)

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Highly Cited

2007

Highly Cited

2007

- Reza Olfati-Saber
- 2007 46th IEEE Conference on Decision and Control
- 2007

In this paper, we introduce three novel distributed Kalman filtering (DKF) algorithms for sensor networks. The first algorithm is… (More)

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Highly Cited

2005

Highly Cited

2005

- Reza Olfati-Saber
- Proceedings of the 44th IEEE Conference on…
- 2005

The problem of distributed Kalman filtering (DKF) for sensor networks is one of the most fundamental distributed estimation… (More)

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Highly Cited

2004

Highly Cited

2004

- Bruno Sinopoli, Luca Schenato, Massimo Franceschetti, Kameshwar Poolla, Michael I. Jordan, S. Shankar Sastry
- IEEE Transactions on Automatic Control
- 2004

Motivated by navigation and tracking applications within sensor networks, we consider the problem of performing Kalman filtering… (More)

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Highly Cited

2002

Highly Cited

2002

- Simon Haykin
- 2002

Designations used by companies to distinguish their products are often claimed as trademarks. In all instances where John Wiley… (More)

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Highly Cited

2001

Highly Cited

2001

In this book, the extended Kalman filter (EKF) has been used as the standard technique for performing recursive nonlinear… (More)

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Highly Cited

2000

Highly Cited

2000

The Extended Kalman Filter (EKF) has become a standard technique used in a number of nonlinear estimation and machine learning… (More)

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Highly Cited

1998

Highly Cited

1998

- Gerrit J. H. Burgers, PETER JAN, Geir Evensen
- 1998

This paper discusses an important issue related to the implementation and interpretation of the analysis scheme in the ensemble… (More)

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Highly Cited

1997

Highly Cited

1997

The Kalman filter(KF) is one of the most widely used methods for tracking and estimation due to its simplicity, optimality… (More)

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Highly Cited

1994

Highly Cited

1994

- Greg Welch, Gary Bishop
- 1994

In 1960, R.E. Kalman published his famous paper describing a recursive solution to the discrete-data linear filtering problem… (More)

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