电子学报2012，Vol.40Issue(6)：1199-1206,8.DOI:10.3969/j.issn.0372-2112.2012.06.022
知识辅助机载雷达杂波抑制方法研究进展
An Overview of Knowledge-Aided Clutter Mitigation Methods for Airborne Radar
摘要
Abstract
A confluence of existing researches have shown that using priori knowledge can efficiently mitigate the heterogeneous clutter of airborne/space-based radar. A brief overview of significant progress in knowledge-aided (KA) methods for airborne radar clutter suppression is presented. The recent advances of clutter mitigation methods exploiting a prior knowledge in indirect way,such as associating radar data with dissimilar data, intelligent training and filter selecting, are introduced. Especially, some methods for registration of radar data and other resources data are elaborated. The progress in Bayesian filtering and data pre-whitening which can directly filter the incoming multi-dimensional data stream are analyzed, including the priori covariance matrix estimation, pre-whitened STAP filtering and Bayesian STAP filtering. Furthermore, a brief overview of the KA CFAR algorithms, high-fidelity clutter modeling and validation data of KA-based airborne radar adaptive processing algorithms are conducted. Although great progress has been made in clutter mitigation methods using KA, there are some unsolved problems in the real application. For these problems, we give some idea about using multiple data sources and effectively exploiting prior knowledge.关键词
机载雷达/杂波抑制/空时自适应处理/知识辅助Key words
airborne radar/clutter mitigation/ space-time adaptive processing/knowledge aided分类
信息技术与安全科学引用本文复制引用
范西昆,曲毅..知识辅助机载雷达杂波抑制方法研究进展[J].电子学报,2012,40(6):1199-1206,8.基金项目
国家自然科学基金(No.61101238) （No.61101238）
陕西省自然科学基础研究(No.2010JQ8028) （No.2010JQ8028）
西安市科技计划(No.CXY1008(5)) （No.CXY1008(5）
