# Tag Info

Accepted

### Explain the Adaptive Part of Adaptive Algorithms - Kalman Filter and Least Mean Square / Constant Modulus

Adaptive Filters are called "Adaptive" when they can adapt to changes in data. In the filters you mentioned above, which are part of the Linear Filters family the property means their coefficients are ...
• 19.3k

### Likelihood of Unscented Kalman filter

Your mistake is that $\mathcal Z$ does depend on process noise. It's just a bit more obscure than the linear filter. $\mathcal Z$ is the projection of the sigma points through the observation function....
• 21
Accepted

### Implementing Kalman filter or extended or unscented with only position information

from the generality of your question then yes you can design a Kalman filter which would accept the target position as the only measurement possibly corrupted with noise. Then the Kalman filter will ...
• 28k

### What is the name for a constant-heading Kalman filter model for vehicle tracking?

I think the magic acronym is CHCV, "constant heading constant velocity". This returns at least a few results on Google.

### How to determine covariance matrices $\mathbf P$, $\mathbf Q$, and $\mathbf R$ in Extended Kalman Filter

For a Kalman filter -- either extended or plain old, you compute the state covariance ($\mathbf P$) at each iteration of the filter. Nearly always, the measurement and process noise need to be known ...
• 11.9k

• 19.3k
1 vote

### Is acceleration noise modelled differently in EKF and UKF Kalman Filters?

Absolutely! Every (extended / unscented) Kalman filter starts with a signal model. The state update equation in the second image is a very different beast from the little you show of the first ...
• 25.3k
1 vote
Accepted

### Unable to understand how the paper simplifies the covariance matrix - Kalman filter

In order to derive equation (20) you can use the following steps: From substitution of equation (16) into equation (18) $$P_n = P_{n|n-1} - K_nP^t_{x_ny_n}$$ Now plugging right side equation of (...
• 139
1 vote
Accepted

### Conceptual Question on equalization technique in rayleigh fading channel based on a paper

The model they have used is general and you can apply it to QAM as well. In wireless communication systems, channel and noise are two different impairments affecting the overall transmission. Here as ...
• 784

Only top scored, non community-wiki answers of a minimum length are eligible