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Research on Algorithm for Eliminating False Positioning of Targets by Correlating Direction Finding Data

  • 2013-09-17
  • 184.1KB
  • Points it Requires : 2

False positioning elimination is a key technology in direction finding cross positioning. There are many solutions, such as the minimum distance method, maximum likelihood method, Lagrange relaxation algorithm, etc. However, in practical applications, the correct correlation rate is low, or the amount of calculation is large and not suitable for real-time processing. Therefore, a new data association algorithm is proposed to perform coarse association on the measurement data to eliminate most of the false points, and then perform fine association on the remaining positioning points to finally determine the real target point. Simulation results show that this method can better locate multiple targets with moderate calculation amount.

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