A maximum likelihood tracker
Conrad, Robert D.
Washburn, Alan R.
Jacobs, Patricia A
MetadataShow full item record
This report deals with the development and utilization of a maximum likelihood tracking algorithm designed to handle a single diffusion target. The tracker is required to accept or reject each of a sequence of discrete position reports, some of which are false alarms. Average tracking time, E(T), is defined and used to evaluate tracker performance. The effects of tracker memory are examined and a Kalman filter is developed to handle the effects of measurement error. Simulation results are included.
Approved for public release; distribution is unlimited
Showing items related by title, author, creator and subject.
Klaszky, Robert A. (Monterey, California. Naval Postgraduate School, 2000-09);The Telemetry (TM) Tracker system is designed to determine time, space, and position information (TSPI) of an airborne missile by detecting its telemetry signal at a number of receiver sites. Doppler frequency measurements ...
Veenhuis, Robert S. (Monterey, California. Naval Postgraduate School, 1994-12);Matched Field Processing (MFP) is a beamforming technique which allows for the detection and localization of an acoustic source in range and depth using passive sonar. The performance of MFP in shallow water environments ...
Comparison of a noise-variance weighted complex exponential reconstructor with traditional reconstructors in the presence of deep trubulence Moran, Shane C. (Monterey, California: Naval Postgraduate School, 2013-06);The military, and specifically the Navy, is making a move toward the use of directed energy weapons as a tactical advantage over typical kinetic weapons. Directed energy weapons require different controls and delivery ...