基于旋转降维的高速隐身目标检测算法

High-speed stealth target detection algorithm based on rotating and dimension reduction

高速隐身目标严重压缩了防空导弹雷达导引头的探测威力,尤其限制了线性调频波形在末制导过程中的应用,时频二维高分辨的检测优势被部分削弱。针对此问题,提出一种基于旋转降维的脉冲多普勒雷达主动导引头长时间积累算法,用于导引头对高速隐身目标的检测。该算法通过旋转变换,将回波信号矩阵中距离与速度的耦合去除,使得变换后矩阵在行、列方向相互独立,同时矩阵维度得到降低。对变换后的矩阵作傅里叶变换,得到峰值所对应的弹目相对速度,并对回波信号矩阵进行补偿。仿真条件下,此算法可以将导引头的截获灵敏度大大提高。

The emergence of the high-speed stealth targets severely compresses air defense missile radar seeker detection power,and especially limits linear frequency modulation waveform application in the process of terminal guidance,so that detection advantage on time-frequency two dimension high resolution is partly decreased.Aiming at this problem,a long time accumulation algorithm based on rotating and dimension reduction is proposed for pulsed Doppler radar seeker in order to detect the high-speed stealth target.The coupling between range and velocity in the echo matrix is wiped off by rotating transform,and the rotated matrix is independent in row and array respectively while the matrix dimension is reduced.The velocity between missile and target can be computed by Fourier transform,which is used to compensate the echo matrix.Through the simulation calculation,the seeker sensitivity is improved greatly.