摘要
该文针对逆合成孔径雷达成像中某些含旋转部件雷达目标,其回波多普勒中心受到旋转部件微多普勒的扰动,使得对回波初相的估计和补偿精度下降,从而导致目标主体成像质量变差的问题,提出一种自适应的距离单元筛选快速最小熵相位补偿方法。该方法利用筛选得到的仅包含目标主体散射点的距离单元数据完成相位校正,既提高了相位补偿的精度,又能加快搜索效率。最后通过实测数据说明该方法的有效性。
In the Inverse Synthetic Aperture Radar （ISAR） imaging of targets with rotating parts, the Doppler centroid of the radar returns are disturbed by the micro-Doppler of the rotating parts. As a result, the phase estimation and compensation accuracy will decline and the image of the targets＇ main body may be unfocused. To solve this problem, an algorithm based on adaptive range bins selection in the fast minimum entropy phase compensation is presented. By adaptively selecting range bins which only contain the returns of the main body scatterers, the disturbance from the rotating parts can be avoided and the computational efficiency ＇s improved. The result from a set of measured data is given to verify the validity of this algorithm.
出处
《电子与信息学报》
EI
CSCD
北大核心
2013年第5期1128-1134,共7页
Journal of Electronics & Information Technology
关键词
雷达成像
相位补偿
旋转部件
快速最小熵
距离单元筛选
Radar imaging
Phase compensation
Rotating parts
Fast minimum entropy
Range bins selection
