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In this paper, multiple sensor measurement update is studied for a random matrix model. Four different updates are presented and evaluated: three updates based on parametric approximations of the extended… Click to show full abstract
In this paper, multiple sensor measurement update is studied for a random matrix model. Four different updates are presented and evaluated: three updates based on parametric approximations of the extended target state probability density function and one update based on a Rao–Blackwellized (RB) particle approximation of the state density. An extensive simulation study shows that the RB particle approach shows best performance, at the price of higher computational cost, compared to parametric approximations.
Keywords:
matrix model;
sensor measurement;
random matrix;
extended target;
multiple sensor
Journal Title: IEEE Transactions on Aerospace and Electronic Systems
Year Published: 2017
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Journal Title: IEEE Transactions on Aerospace and Electronic Systems
Year Published: 2017
Link to full text (if available)
Share on Social Media: Sign Up to like & get
recommendations!