Uav path optimization for angle-only self-localization and target tracking based on the bayesian fisher information matrix

HIGHLIGHTS

• What: In this paper new path optimization algorithms are developed for uncrewed aerial vehicle (UAV) and target tracking exploiting beacon (landmark) bearings and angle-ofarrival (AOA) measurements from manoeuvring target. The performance of this approach at different measurement noise levels is investigated. modified closed-form projection algorithm based on previous work is also proposed to achieve optimal UAV paths. In this paper, the objective is to optimize the flight path of a single UAV, equipped with an AOA sensor collecting bearing measurements from beacons and a manoeuvring target, for joint self-localization (UAV location and orientation estimation . . .
  

   

  

  If you want to have access to all the content you need to log in!

  Thanks :)

  Username or Email

  Password

  Remember me

  Lost your password?

  If you don't have an account, you can create one here.