Fusion tracking using data from multiple, distributed sensors will only be successful if the bias associated with each platform can be estiamted and removed brfore data fusion is attempted. In amny cases, the sensors cannot be reliably calibrated in advance and it is necessary to rely upon targets of poortunity. bias estimation must then become part of an integrated data fusion system. This paper demonstrates the feasibility ofsuch system, using TOTS to provide the multi-model, multi-sensor tracking capability, with additional functionality to support the bias estiamtion and correction based on whatever common targets are observed. Such a prototype system is shown to be effecitve, and is valuable in highlighing the main issues that must be addressed before a fully system can be fielded.
展开▼
