3D passive localization in the presence of large bearing noise

@article{Doganay20053DPL,
  title={3D passive localization in the presence of large bearing noise},
  author={Kutluyil Dogançay and Gokhan Ibal},
  journal={2005 13th European Signal Processing Conference},
  year={2005},
  pages={1-4}
}
This paper derives three-dimensional passive bearings-only localization algorithms and examines their performance when the sensor measurements are corrupted by large additive noise. Among the algorithms studied, the maximum likelihood (ML) estimator is shown to have the best localization performance. The ML estimate is computed using the iterative Gauss-Newton (GN) algorithm with the initial guess obtained from a pseudolinear estimator. Bearing measurements are averaged over finite-length non… CONTINUE READING