Robust recursive total least squares passive location algorithm

To solve the problem that airborne passive location is susceptible to outliers, a robust recursive total least squares (RRTLS) airborne passive location algorithm was proposed based on the angle information. The airborne passive location model was established and the recursive total least squares(RTLS) solution was obtained. The RTLS solution was transformed into the weighted pattern, and robust TLS extreme value criterion was formulated. Then, the equivalent weight function was founded, which made the algorithm distinguish the outliers automatically, and the effects from outliers were reduced by the weight-reduction and the singular points elimination. The results show that with the increase of error, the value of the influence function in the RRTLS algorithm decreases, and the algorithm has high anti-outliers ability. When there are outliers, the results on the RLS and RTLS location are not reliable. On the other hand, the RRTLS algorithm performs an ideal estimation with good robustness. ©, 2015, Central South University of Technology. All right reserved.