Airborne passive target motion analysis

Kalman filtering techniques are applied to a two sensor bearings only passive target motion analysis problem. An algorithm is developed to simulate tracking long range maneuvering airborne targets. The target tracking performance of the filter is evaluated using computer generated noisy bearing measurements. The performance of the filter is satisfactory given reasonable initial conditions and measurement noise. The purpose of TMA is to determine the target's position, course and speed through a series of passive noisy measurements. For the air defense scenario, these passive measurements may be lines of bearing (LOB) obtained from the enemy aircraft's jamming strobes or from the electromagnetic radiation of the aircraft's long range targeting radar.http://archive.org/details/airbornepassivet00gutzLieutenant, United States NavyApproved for public release; distribution is unlimited