Target motion analysis in the presence of false alarms
Claude Jauffret, Yaakov Bar‐Shalom · The Journal of the Acoustical Society of America · 1993
Usually, target motion analysis (TMA) is based upon the Gaussian statistical assumption for the additive corrupting measurement noise and ignores the presence of false alarms. In this paper, a realistic maximum likelihood estimator (MLE) is developed for TMA problems when the available measurement at each sampling time is either a true detection or a false alarm. By using appropriate statistical assumptions, the Cramer–Rao lower bound (CRLB) is computed for the bearings-only TMA under the realistic assumption that the data set is contaminated by false alarms. A comparison is then made between the least-squares estimator and MLE-based TMA.