The problem of tracking emitters, via asynchronous bearing measurements made at two remote sites, was addressed. Three algorithms were developed for this purpose; a statistical moving average technique, a modified Kalman filter technique, and an extended Kalman filter technique. The performances of the algorithms in several selected scenarios were compared, with the preliminary results indicating that the modified Kalman filter technique is superior in its ability to rapidly develop a reasonable track. The extended Kalman filter technique demonstrated superior tracking performance once it had settled down; however, for the cases considered this required an unreasonable amount of time. Further investigation is required to assess the performance of the algorithms against maneuvering targets. The effect of varying the time between measurements should also be considered.