We all know Information Filter is a dual representation of kalman filter. The main difference between information filter and kalman filter is the way the Gaussian belief is represented. In kalman filter Gaussian belief is represented by their moments where as in Information filter Gaussian belief is represented by canonical form. Canonical form is comprised with a information matrix($\Omega$) and a information vector ($\xi)$.
As we all know the name kalman filter name after Rudolf E. Kálmán, one of the primary developers of its theory.
Now I want to know that from where the name information filter came?Why it is called information filter?what type of information attached with this filter? Is there any signification behind the nomenclature?
I have the same question about information matrix and information vector. Is there any signification behind the nomenclature?
I already read Probabilistic Robotics by Sebestian Thrun. Chapter 3 Gaussian filter ,in the subsection 3.4 The information Filter. There are many equations and theories but that does not tell us about the nomenclature.