Tracking weak targets with a grid search approach using spatially distributed sensors

This paper investigates the performance and robustness of two grid search algorithms; the space-time integration (STI) technique and the integrated grid search localisation and tracking algorithm (IGLOO) which both combine data from spatially separated sensors. The algorithms are applied to two different scenarios; a target moving in a straight line through a sonobuoy field; and a target undertaking a major course change. Although most techniques will track a target moving in a straight line quite successfully many have difficulty tracking the target as it manoeuvres through a slow turn. The advantages of data fusion are highlighted using the IGLOO algorithm where the results using bearings only, frequency only and combined bearing/frequency information are provided