Subject
- Posted on
November 30, 2009, 1:21 pm
Hi.
I have a system which I track using a Kalman filter. In the update step I,
however, have multiple measurements from different sensors available with
their respective covariances. Any input on how to take advantage of this in
a Kalman filter?
Thanks in advance.
Re: Kalman filter update with multiple measurements
On Mon, 30 Nov 2009 19:21:47 +0100, Edward Jensen wrote:
If this is the usual Kalman construction and you just follow the normal
recipe for it, you should "automatically" get the right weighting for
your various sensors -- even if you have redundant sensors each with a
different linear combination of the the variables you're measuring.
--
www.wescottdesign.com
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