项目名称: 机载雷达认知接收杂波抑制理论和方法研究
项目编号: No.61471285
项目类型: 面上项目
立项/批准年度: 2015
项目学科: 无线电电子学、电信技术
项目作者: 吴建新
作者单位: 西安电子科技大学
项目金额: 80万元
中文摘要: 空时自适应处理是机载雷达地杂波抑制的一种有效方法,但在地面杂波严重非均匀的情况下,即使采用降维空时自适应处理也会由于无法得到足够多的独立同分布样本而导致杂波抑制性能的下降。另外,杂波环境的变化和载机姿态的变化会使得杂波的非均匀性和非平稳性发生变化,此时采用固定不变的杂波抑制方法往往不能获得很好的杂波抑制性能。通过对杂波环境的认知提高雷达对杂波的表征能力,进而改善雷达在复杂环境中的杂波抑制性能,是国外研究机构正在尝试的重要方向。本项目针对机载雷达认知接收杂波抑制问题,开展主动感知模式下的杂波特性参数和误差估计研究、杂波抑制策略及参数选择研究、知识辅助样本选取方法研究和知识辅助融合杂波抑制处理方法研究,揭示通过环境认知提高杂波抑制能力的机理,获得认知接收杂波抑制的方法,为提升机载雷达在复杂环境下的探测性能提供理论和方法支撑。
中文关键词: 机载雷达;空时处理;杂波抑制
英文摘要: Space time adaptive processing (STAP) is an effective method for airborne radar clutter suppression. However, in the non-homogeneous clutter environment, performance of reduced-dimensional STAP degrades due to lack of enough i.i.d secondary data. Additionally, variations of clutter environment and aircraft attitude angle give rise to variations of clutter nonhomogeneity and nonstationarity. Thus, using single clutter suppression method can not obtain optimal performance. By cognizing the clutter environment, airborne radar can improve the ability of clutter representation and thus improve clutter suppression performance in complicated environment. In this project, clutter suppression for airborne radar using cognitive processing is investigated, which includes clutter characteristic estimation and error estimation in the active perception,clutter suppression strategy and parameter selection, knowledge aided training data selcetion, and knowledge aided fused clutter suppression. The project wants to reveal the mechanism of clutter suppression performance improvement based on environment cognition, and obtain cognitive clutter suppression methods, and provide a support on theory and methods for improving the detection performance in the complicated environment.
英文关键词: airborne radar;space time processing;clutter suppression