Sensor Management and Multisensor Fusion Algorithms for Tracking Applications

摘要

The objective of the research under this Office of Naval Research award is to develop multisensor management and fusion algorithms for tracking applications. Under this award the author has achieved a number of results: (1) developed a decorrelated sequence method for distributed fusion that is amenable to general distributed architectures; (2) compared a number of recently proposed multisensor, multitarget tracking algorithms to better understand which algorithms perform better in certain scenarios; (3) developed variance estimation and ranking tools for efficiently comparing multisensor fusion algorithms; and (4) developed several schemes for controlling sensor information to achieve covariance goals when tracking interacting targets in cluttered environments. The results have provided insight as to the relative performance of various multisensor fusion methods, and the results also have provided a basis for assessing the tradeoffs between performance and computational and communications requirements when planning new sensor network architectures or communication link protocols. The report also lists 13 research papers that have been fully or partially funded under this contract and have been accepted for publication.