雷达误差配准是多源信息融合关键技术之一,处于数据预处理环节,其性能直接影响着后续融合处理效果。文中从误差配准研究的任务需求出发,围绕雷达系统偏差空间分布模型和精细化误差配准技术,回顾和总结了误差配准的研究进展,梳理了主要研究算法。在此基础上,从系统偏差空间分布特性分析与模型构建、一般场景下系统偏差精细化配准技术、病态场景下误差配准技术研究三个方面展望了有待于解决的关键问题,提出相应的方法思路,旨在更好地满足多源信息融合需要,助力提升误差配准方法的稳健性、准确性和工程适用性。

Radar error registration is one of the key technologies of multi-source information fusion, which is in the process of data pretreatment, and its performance directly affects the result of subsequent fusion processing. Based on the mission requirements of error registration research, the research progress of error registration is reviewed and summarized around the spatial distribution model of radar system error and fine error registration technology in this paper, and the main research algorithms are summarized too. On this basis, the key problems to be solved are projected from three aspects: analysis of spatial distribution characteristics and model construction of system bias, fine registration technology of system bias in general scenarios, and research of error registration technology in sick scenarios. The corresponding methods and ideas are proposed to better meet the needs of multi-source information fusion and to improve the robustness, accuracy and engineering applicability of the error registration method.

TN959.74

国家自然科学基金资助项目(61871392;62101583)