Tracking of real airborne targets with multistatic passive radars in 3D

Manavoǧlu B., Yazgan E.

2014 15th International Radar Symposium, IRS 2014, Gdansk, Poland, 16 - 18 June 2014 identifier

  • Publication Type: Conference Paper / Full Text
  • Doi Number: 10.1109/irs.2014.6869281
  • City: Gdansk
  • Country: Poland
  • Keywords: Extended Kalman Filter, Monte Carlo Simulation, Multistatic Passive Radar, Target Tracking, Unscented Kalman Filter
  • TED University Affiliated: No


Nowadays, Multistatic passive radars using commercial signals (e.g., FM broadcast, digital TV) as illuminators of opportunity have increasing significance in air defence systems because of their promising technical performance and low projected costs. They have significant advantages against stealth targets and provide resistance to jamming. On the other hand, various complex application aspects present challenging issues. Hence a number of research and development studies are currently active. In this paper, obtained target motions using real turboprop and jet aircrafts flight data are degraded into three dimensions in Cartesian coordinate then using designed multistatic passive radar simulation model tracking of target motions process is done. In target tracking, Extended Kalman Filter (EKF) and Unscented Kalman Filter (UKF) are used for estimation. For the estimation of target state vector Doppler frequency, azimuth, elevation and range measurement data are used. Measurement noise is added to measurements and Monte Carlo simulation is used to asses target tracking performance. © 2014 Warsaw University of Technology (WUT).