Improvement of bearing-only tracking fusion strategy based on bionics with infrared sensor

This paper* mainly studies some improvements of bearing-only data association with a single passive sensor to overcome the existing problems in the applications of JPDA approaches for bearing-only target locating and tracking. First, some adaptive modified rules are presented by deep analysis of JPDA application. This bearing-only association approach reduces computational complexity clearly under the premise of better tracking precision. Then, an effective track management strategy is designed. This strategy helps to set up a clear tracking level and manage historical the information of the target. The application of the proposed approach in a simulation and engineering system proves its effectiveness and practicability.