机载阵列雷达目标认知检测方法研究

项目名称： 机载阵列雷达目标认知检测方法研究

项目编号： No.61301285

项目类型： 青年科学基金项目

立项/批准年度： 2014

项目学科： 无线电电子学、电信技术

项目作者： 周宇

作者单位： 西安电子科技大学

项目金额： 23万元

中文摘要： 面对日益复杂的杂波环境，如何提高机载雷达目标检测性能是雷达信号处理领域的研究热点问题之一。杂波的复杂性主要表现为时间非平稳性、空间非均匀性和幅度分布的非高斯性。传统的机载阵列雷达目标检测算法对杂波先验知识的利用不充分，并且滤波算法策略确定后较少随杂波特性变化而进行调整，导致复杂环境中无法获得满意的目标检测性能。针对这些不足，本项目在认知雷达理论框架下开展杂波先验知识感知和知识辅助的雷达目标认知检测方法研究，主要内容包括：1）建立杂波先验知识库及杂波特性在线分析和建模；2）融合杂波先验知识的自适应检测器设计；3）基于环境先验知识的自适应滤波算法选择方法。项目的研究创新性强，具有很强的实用性，既有重要的科学意义和广泛的应用前景。

中文关键词： 机载雷达；知识辅助；阵列自适应处理；空时自适应处理；动目标检测

英文摘要： Target detection with airborne radar in the complex clutter environment is one of the research hotspots in the radar detection and signal processing field. The complex clutter has the characters of non-stationary in the time domain, inhomogeneity in space and non-Gaussian feature with probability distribution. Traditional radar target detection algorithms have the problem of insufficient use of the clutter prior knowledge and can't adjust algorithm's parameters as the characteristics of clutter change, which leads to radar target detection degradation. To solve these problems, we focus on the study of clutter knowledge sensing and knowledge-aided target detection within the cognitive radar framework. In details, we research the following problems: 1) the establishment of clutter knowledge set and the analysis and modeling of the clutter characteristics; 2) the design of adaptive detectors with prior knowledge; 3) the selection of adaptive filter algorithms with prior knowledge. These research problems are innovatory and practicable, which have wide application foreground and scientific sence.

英文关键词： Airborne Radar；Knowledge Aided；Array Adaptive Processing；Space Time Adaptive Processing；Moving Target Detection