3. Write a program that calculates the position, adds a noise, and estimates the speed using the Kalman algorithm. Test the algorithm on the follow- ing equation: x₁(n) = n² x2 (n) = sin(2π fon) with fo = 0.005. The observation noise is such that o = 0.5. Try different values of the modeling noise's variance of. Compare the result with the theoretical speed given by: v₁ (n) = 2n v₂ (n) = 27 fo cos(2π fon)

3. Write a program that calculates the position, adds a noise, and estimates the speed using the Kalman algorithm. Test the algorithm on the follow- ing equation: x₁(n) = n² x2 (n) = sin(2π fon) with fo = 0.005. The observation noise is such that o = 0.5. Try different values of the modeling noise's variance of. Compare the result with the theoretical speed given by: v₁ (n) = 2n v₂ (n) = 27 fo cos(2π fon)

C++ for Engineers and Scientists

4th Edition

ISBN:9781133187844

Author:Bronson, Gary J.

Publisher:Bronson, Gary J.

Chapter5: Repetition Statements

Section5.5: A Closer Look: Loop Programming Techniques

Problem 12E: (Program) Write a program that tests the effectiveness of the rand() library function. Start by...

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