Efficient target tracking with an ad-hoc network of omni-directional sensors

Kalin Atanassov

doi:10.1117/12.2177632

Abstract

Ad-hoc networks of omni-directional sensors provide an efficient means to obtain low-cost, easily deployed, reliable target tracking systems. To remove target position dependency on the target power, a transformation to another coordinate system is introduced. It can be shown that the problem of sensing target position with omni-directional sensors can be adapted to the conventional Kalman filter framework. To validate the proposed methodology, first an analysis is conducted to show that by converting to log-ratio space and at the same time reducing the number of parameters to track, no information about target position is lost. The analysis is done by deriving the CRLBs for the position estimation error in both original and transformed spaces and showing that they are the same. Second, to show how the traditional Kalman filter framework performs, a particle filter that works off the transformed coordinates is designed. The number of particles is selected to be sufficiently large and the result is used as ground truth to compare with the performance of the Kalman tracker. The comparisons are done for different target movement speeds and sensor density modes. The results provide an insight into Kalman tracker performance in different situations.

Citation Download Citation

Kalin Atanassov, "Efficient target tracking with an ad-hoc network of omni-directional sensors", Proc. SPIE 9497, Mobile Multimedia/Image Processing, Security, and Applications 2015, 94970J (21 May 2015); doi: 10.1117/12.2177632; https://doi.org/10.1117/12.2177632

ACCESS THE FULL ARTICLE

PERSONAL SIGN IN
Full access may be available with your subscription

Email or Username Forgot your username?

Password Forgot your password?

Show

Remember Email/Username on this computer

Remember Password

No SPIE account? Create an account
or Institutional Sign In via Shibboleth

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available

Members: $14.40

Non-members: $18.00 ADD TO CART

Show All Keywords

Keywords/Phrases

Search In:

Publication Years