Cramer-Rao Bound for Joint Angle and Delay Estimators by Partial Relaxation

This paper derives a closed-form Cramer-Rao bound for the partial-relaxation formulation of joint angle and delay estimation (JADE). The result provides a theoretical benchmark against which practical JADE algorithms can be evaluated and quantifies the inherent accuracy cost of partial relaxation.

Recommended citation: A. Bazzi and D. T. M. Slock, "Cramer-Rao Bound for Joint Angle and Delay Estimators by Partial Relaxation," in GLOBALSIP 2019 - 7th IEEE Global Conference on Signal and Information Processing, Ottawa, Canada, 2019. https://doi.org/10.1109/GlobalSIP45357.2019.8969286

@article{bazzi2019cramer-rao,
  title   = {Cramer-Rao Bound for Joint Angle and Delay Estimators by Partial Relaxation},
  author  = {Ahmad Bazzi and Dirk T. M. Slock},
  journal = {GLOBALSIP 2019 - 7th IEEE Global Conference on Signal and Information Processing},
  year    = {2019},
  month   = {nov},
  publisher = {IEEE},
  doi     = {10.1109/GlobalSIP45357.2019.8969286},
  url     = {https://doi.org/10.1109/GlobalSIP45357.2019.8969286},
}