摘要
在雷达高速机动目标的检测中,目标的运动特性会带来距离走动和多普勒徙动现象,不利于后续进行相参积累。传统算法为解决目标运动造成的影响,需要对目标的运动参数进行搜索,加大了计算量。针对上述问题,文中提出了一种基于慢时间序列反转变换(TRT)-二阶keystone变换(SKT)-高阶模糊函数(HAF)的变加速目标快速相参积累算法。该算法通过TRT和SKT校正距离走动,利用HAF估计目标加速度并构建相位补偿函数以校正多普勒徙动。与广义Radon-Fourier变换相比,所提方法无需进行任何参数搜索,计算复杂度减少了3个数量级。仿真结果表明,所提方法在检测门限上相比于Radon分数阶模糊函数算法降低了5 dB,在低信噪比下有更好的检测性能。
When detecting high-speed maneuvering targets with radar,their motion characteristics can result in distance walking and Doppler migration,which hinders the accumulation of phase reference.To address the effects of target motion,various motion parameters are searched typically in traditional algorithms which increases computational requirements.In this paper,a fast phase parameter accumulation algorithm for variable acceleration targets based on time reversing transform(TRT)-second-order keystone transform(SKT)-high-order ambiguity function(HAF)is introduced to address the above issues.The SKT and TRT are used to compensate for walking distance.Phase compensation function constructed by HAF estimation of the target acceleration is used to compensate for Doppler migration.The proposed method has a computational complexity that is three orders of magnitude lower than the generalized Radon-Fourier transform,and does not require any parameter search.The simulation results demonstrate that the proposed method reduces the detection threshold by 5 dB in comparison to the Radon-fractional ambiguity function and exhibits superior detection performance at low signal-to-noise ratios.
作者
陈锴
乔良
李明
陈洪猛
CHEN Kai;QIAO Liang;LI Ming;CHEN Hongmeng(National Key Laboratory of Radar Signal Processing,Xidian University,Xi′an Shaanxi 710071,China;Beijing Institute of Radio Measurement,Beijing 100854,China)
出处
《现代雷达》
CSCD
北大核心
2024年第2期95-102,共8页
Modern Radar
基金
国家自然科学基金资助项目(62172321)。
关键词
时间序列反转变换
相参积累
二阶keystone变换
高阶模糊函数法
time sequence reversing transformation
coherent accumulation
second-order keystone transform(SKT)
high-order ambiguity function(HAF)method
作者简介
陈锴,男,1999年生,硕士研究生,研究方向为雷达信号长时间相参积累;乔良,男,1998年生,博士研究生,研究方向为雷达信号处理;李明,男,1965年生,博士,教授,研究方向为宽带信号处理与微弱目标检测、高速并行信号处理及高性能DSP应用系统设计、雷达图像处理与分析、雷达抗干扰技术;陈洪猛,男,1986年生,博士,高级工程师,研究方向为空天基雷达总体设计、前斜视成像和运动目标检测。
