Covariance intersection implies an algorithm which is responsible for the combination of two or more estimates of state variables in a Kalman filter.
INFORMATION FUSION BASED ON FAST COVARIANCE INTERSECTION FILTERING
When lack of knowledge occurs between the noise corrupted signal sources and is basically dependent on cross correlations, then it suffers from information fusion. The Kalman filter acts as an optimal estimator for known Gaussian system and measurement noise in the mean square error known as MSE which is made for the linear dynamic system. When there is a non – Gussian system with known second order exists, then mean square error known as (MSE) acts as an optimal dynamic system. In both situations the estimate of state system is given.
For solving the real world problems, the second system based on second statistics is ignored due to incomplete knowledge about the observed system or reduced filter implementations due to complexity reasons. The examples of significant cross correlations between noise sources are multiple model filtering, simultaneous map building and localization etc.
COVARIANCE INTERSECTION FOR DATA FUSION
Let’s consider one problem. There are two pieces of information namely A and B, they are fused together to give the output of the variable C. A and B can be two different sensor measurements. It is also possible that A can be a prediction from a system model and B can be sensor information. The corruption in both the terms can be occurred on the basis of measurement noises and modelling errors therefore their values may not be clear that is why A and B can be said as a and bto be the random variables. The consistency is not possible in C because the cross connection between the variables is unknown and will not be zero in general.
Now let’s see the data fusion.
The network of the data fusion consists of N nodes whose connection topology that can change dynamically. Every node has the information only about its local topology. The disturbed data fusion is the only source of unmodeled correlations since the process and observation noises are independent. CI is the source which is used to develop the distributed fusion algorithm which exploits the structure.
APPLICATIONS DOMAIN OF CI
On Time Delivery
Plagiarism Free Work
24 X 7 Live Help
Services For All Subjects
Best Price Guarantee
I was not able to concentrate on academics and co-curricular activities all at once and hence I decided to seek professional assistance. The expert writers took care of my essay report so well as if it was their own. So no complaints at all!
The service solution is extremely flexible that helps students to procure services anytime as they need one. I could connect to them at any time of the day which made me feel calm and relaxed.
My parents have been really happy with my academic performance lately, and all thanks to the team offering excellent support and academic help. Easy availability and a true choice of students around the world!
I got a bonus mark this semester due to offering an error-free thesis. My examiner was so impressed with my assignment that she offered me a bonus mark which further boosted my grade.