Tracking interacting dust: comparison of tracking and state estimation techniques for dusty plasmas

Details Tracking interacting dust: comparison of tracking and state estimation techniques for dusty plasmas Tracking interacting dust: comparison of tracking and state estimation techniques for dusty plasmas

2011-12-16

arxiv.org/abs/1112.3924v1

Physics

Plasma Physics

11 pages, 6 figures, Conference paper: Signal and Data Processing of Small Targets 2010 (SPIE)

Scientific paper

10.1117/12.852421

When tracking a target particle that is interacting with nearest neighbors in a known way, positional data of the neighbors can be used to improve the state estimate. Effects of the accuracy of such positional data on the target track accuracy are investigated in this paper, in the context of dusty plasmas. In kinematic simulations, notable improvement in the target track accuracy was found when including all nearest neighbors in the state estimation filter and tracking algorithm, whereas the track accuracy was not significantly improved by higher-accuracy measurement techniques. The state estimation algorithm, involving an extended Kalman filter, was shown to either remove or significantly reduce errors due to "pixel locking". It is concluded that the significant extra complexity and computational expense to achieve these relatively small improvements are likely to be unwarranted for many situations. For the purposes of determining the precise particle locations, it is concluded that the simplified state estimation algorithm can be a viable alternative to using more computationally-intensive measurement techniques.

Affiliated with

Also associated with

No associations

Rating

Tracking interacting dust: comparison of tracking and state estimation techniques for dusty plasmas does not yet have a rating. At this time, there are no reviews or comments for this scientific paper.

If you have personal experience with Tracking interacting dust: comparison of tracking and state estimation techniques for dusty plasmas, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Tracking interacting dust: comparison of tracking and state estimation techniques for dusty plasmas will most certainly appreciate the feedback.

Rate now

Comments { 0 }

Profile ID: LFWR-SCP-O-137852