一种机载/弹载阵列雷达前视超分辨成像算法

A Forward-Looking Super-Resolution Imaging Algorithm for Airborne/Missile-Borne Array Radar

针对机载/弹载雷达前视成像过程中方位分辨率急剧下降的问题,提出了一种基于超分辨技术的阵列雷达前视成像算法。该算法通过对接收的各通道回波数据进行样本协方差估计,并对该协方差进行修正及空间平滑等处理,随后采用改进的多重信号分类(MUSIC)算法估计空间谱,再根据系统参数将谱曲线进行累积,最终获得雷达前视图像。仿真及实测数据处理结果表明,该算法能有效提高雷达前视方向成像的方位分辨率,实现机载/弹载雷达前视超分辨成像。

To overcome the deterioration of azimuth resolution in forward-looking imaging for airborne or missile-borne radar,this paper proposes an array radar forward-looking imaging algorithm based on super-resolution technique.The paper firstly estimates the covariance of the echo data from each channel and applies modification and spatial smoothing technique to this achieved covariance,then obtains spatial spectrum with modified multiple signal classification（MUSIC）algorithm,finally accumulates spatial spectrums according to system parameters to generate the radar forward-looking image.As verified by simulation and experimental results,this algorithm can effectively improve the azimuth resolution and realize forward-looking super-resolution imaging in airborne or missile-borne radar.