特征辅助数据关联研究综述

特征辅助的数据关联技术为解决杂波/多邻近（或交叉运动）条件下目标的稳定可靠跟踪提供了一条新的有效途径，是复杂环境下目标跟踪领域的热点研究问题，具有广阔的应用前景。在广泛调研相关文献的基础上对特征辅助数据关联的基本原理进行阐述，对现有的目标特征和关联算法进行科学的分类，对典型应用实例进行较为全面的综述，并对其发展趋势进行展望。

Feature-aided data association:a survey

Feature-aided data association (FADA), as a novel and effective approach for improving track maintenance, has been a hot spot in the area of targets tracking under complicated environment such as dense clutter or multiple near spaced targets, and it has a good prospect of application. Based on the extensive investigation of published literatures, the foundational principle of FADA is represented at the beginning of this paper, followed by scientific categorization of the target features and association algorithms. The typical FADA application instances are surveyed in detail, and the direction of future progress is also discussed.