Data Fusion Without Data Fusion: Localization and Tracking Without Sharing Sensitive Information
Source: University of Adelaide
It is now well known that data-fusion can improve detection and localisation of targets. However, traditional data fusion requires the sharing of detailed data from multiple sources. In some cases, the various sources may not be willing to share such detailed information. For instance, current allies may be willing to share some level of information, but only if they can do so without revealing their secrets. The authors show here that, at least for localisation and tracking of targets, data-fusion can be performed without the need to actually combine the data in question, so that no party learns the information of another.