Target Existence Probability in the Distributed Kalman Filter
Paper i proceeding, 2013

In this paper, the target existence probability for a single target in clutter is derived. More specifically, the paper considers target existence in the distributed Kalman filter. First, a conceptual solution is derived explicitly for a two-sensor case, and second a moment-matching approximation is performed, which enables computational tractability. The results can be generalized to arbitrary numbers of sensors.

Kalman filtering

Target tracking

Författare

Daniel Svensson

Chalmers, Signaler och system, Signalbehandling och medicinsk teknik, Signalbehandling

Felix Govaers

Martin Ulmke

Wolfgang Koch

2013 Workshop on Sensor Data Fusion: Trends, Solutions, Applications (SDF)

Styrkeområden

Transport

Fundament

Grundläggande vetenskaper

Ämneskategorier

Sannolikhetsteori och statistik

Signalbehandling