A multi-platform bearing-only target steering maneuver detection algorithm based on heading estimation

Abstract

Aiming at the problem of bearing-only target steering maneuver detection, a multi-platform bearing-only target maneuver detection algorithm based on heading estimation is proposed. The algorithm selects the sequence of hypothetical maneuvering points, solves the two target motion elements before and after the hypothetical maneuvering point, and determines whether the target maneuvers according to the change of the sequence of the heading difference of the adjacent segments solved. Based on the Taylor series element solution model, a joint solution model of two motion elements and an independent solution model of two motion elements were established. The false alarm rate, target maneuver detection rate, maneuver detection delay time and maneuver time estimation accuracy of the maneuver detection algorithm under these two solution models are statistically analyzed. Simulation results show that the maneuver detection algorithms under the two solution models can effectively detect maneuvering targets.

Keywords

• bearing-only target maneuvering detection|multi-platform|motion element joint solution|motion element independent solution