现代雷达2025，Vol.47Issue(2)：66-71,6.DOI:10.16592/j.cnki.1004-7859.20230420001
基于自相关函数的机动目标快速相参积累算法
Fast Coherent Integration Algorithm for Maneuvering Target Based on Autocorrelation Function
摘要
Abstract
The coherent integration(CI)of echoes of maneuvering target usually suffers from severe range migration and Doppler fre-quency migration problems,especially when long-time CI is required,leading to serious degradation of performance on detection.To address these problems,a novel fast coherent integration algorithm is proposed based on the autocorrelation function in this paper.First,the range migration is corrected by the autocorrelation function constructed from the fast time frequency domain signal,after which the target energy is concentrated within a single range cell;then the slow time dimensional signal within this range cell is ex-tracted and the acceleration and unambiguous velocity of the maneuvering target are obtained by using the symmetric autocorrelation function and scaled Fourier transform;finally,motion compensation is performed on the target echo using the estimated parameters to achieve CI and target detection.Compared with existing typical algorithms,the computational complexity of the proposed algorithm is much lower.Both simulation and practical radar experiments are conducted to validate the proposed algorithm,and the results show that the motion parameters can be accurately estimated and the maneuvering targets can be effectively detected.关键词
相参积累/动目标检测/参数估计/自相关函数Key words
coherent integration(CI)/maneuvering target detection(MTD)/parameter estimation/autocorrelation function分类
电子信息工程引用本文复制引用
秘运鹏,张云华,杨杰芳..基于自相关函数的机动目标快速相参积累算法[J].现代雷达,2025,47(2):66-71,6.基金项目
国家自然科学基金面上资助项目 （）
