Change search
ReferencesLink to record
Permanent link

Direct link
Kalman filtering: With a radar tracking implementation
Linnaeus University, Faculty of Technology, Department of Mathematics.
2013 (English)Independent thesis Basic level (degree of Bachelor), 10 credits / 15 HE creditsStudent thesis
Abstract [en]

The Kalman filter algorithm can be applied as a recursive estimator of the state of a dynamic system described by a linear difference equation. Given discrete measurements linearly related to the state of the system, but corrupted by white Gaussian noise, the Kalman filter estimate of the system is statistically optimal with respect to a quadratic function of the estimate error.

The first objective of this paper is to give deep enough insight into the mathematics of the Kalman filter algorithm to be able to choose the correct type of algorithm and to set all the parameters correctly in a basic application. This description also includes several examples of different approaches to derive and to explain the Kalman filter algorithm.

In addition to the mathematical description of the Kalman filter algorithm this paper also provides an implementation written in MATLAB. The objective of this part is to correctly replicate the target tracker used in the surveillance radar PS-90. The result of the implementation is evaluated using a simulated target programmed to have an aircraft-like behaviour and done without access to the actual source code of the tracker in the PS-90 radar

Place, publisher, year, edition, pages
2013. , 48 p.
Keyword [en]
Kalman filter, Radar tracking
National Category
URN: urn:nbn:se:lnu:diva-30855OAI: diva2:668963
Subject / course
Available from: 2013-12-04 Created: 2013-12-02 Last updated: 2013-12-04Bibliographically approved

Open Access in DiVA

fulltext(1629 kB)1393 downloads
File information
File name FULLTEXT01.pdfFile size 1629 kBChecksum SHA-512
Type fulltextMimetype application/pdf

Search in DiVA

By author/editor
Svanström, Fredrik
By organisation
Department of Mathematics

Search outside of DiVA

GoogleGoogle Scholar
Total: 1393 downloads
The number of downloads is the sum of all downloads of full texts. It may include eg previous versions that are now no longer available

Total: 439 hits
ReferencesLink to record
Permanent link

Direct link