基于先验知识的降维自适应时域滤波器  

Reduced-dimensional Adaptive Time Domain Filter Based on Prior Knowledge

作　　者：董晨曦 陈华丽[1] DONG Chen-xi;CHEN Hua-li(College of Information Science and Engineering,Wuhan University of Science and Technology,Wuhan 430081,China)

机构地区：[1]武汉科技大学信息科学与工程学院,武汉430081

出　　处：《科学技术与工程》2020年第20期8233-8238,共6页Science Technology and Engineering

摘　　要：为了灵活调节时域滤波器各频率处能量以及利用先验知识提高机载雷达抑制杂波、干扰信号的性能,提出一种基于先验知识的降维自适应时域滤波器设计算法。首先结合先验知识估计机载雷达杂波协方差矩阵;然后通过这些信息,设计降维处理中时域滤波器各频率区域的增益;最后利用凸优化思想设计最优时域滤波器。结果表明:设计的时域滤波器通过分配不同区域的能量,保证在地杂波和干扰的多普勒区域处形成深宽凹口,不仅抑制了地杂波,还能够改善位于主杂波区域的压制性干扰,极大提高了机载雷达在复杂环境中检测目标的能力。In order to flexibly adjust the energy at each frequency of the time domain filter and improve the performance of airborne radar to suppress clutter and interference signals by using prior knowledge, a time domain filter design algorithm was proposed. Firstly, the convariance matrix of airborne radar clutter was estimated by the prior knowledge. Then, the gain of each frequency region of the time domain filter in the dimensionality reduction process was designed by it. Finally, the optimal time domain filter was designed by the convex optimization idea. The result indicate that the energy of different region is distributed by the time domain filter to ensure the formation of deep and wide notches in the ground clutter and interference Doppler region. It not only suppresses ground clutter, but also improves the repressive interference in the region. The ability of airborne radar to detect targets in complex environments has been greatly enhanced.

关 键 词：机载雷达 先验知识 时域滤波器 干扰抑制 

分 类 号：TN971[电子电信—信号与信息处理]