现代雷达2024，Vol.46Issue(2)：95-102,8.DOI:10.16592/j.cnki.1004-7859.2024.02.012
一种基于TRT-SKT-HAF的变加速目标快速相参积累算法
A Fast Coherent Integration Algorithm for Variable Acceleration Maneuvering Targets Based on TRT-SKT-HAF
摘要
Abstract
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.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Key words
time sequence reversing transformation/coherent accumulation/second-order keystone transform(SKT)/high-order ambiguity function(HAF)method分类
信息技术与安全科学引用本文复制引用
陈锴,乔良,李明,陈洪猛..一种基于TRT-SKT-HAF的变加速目标快速相参积累算法[J].现代雷达,2024,46(2):95-102,8.基金项目
国家自然科学基金资助项目(62172321) （62172321）
