高速机动目标长时间相参积累和参数估计算法研究  

Research on long-time coherent integration and parameter estimation algorithm of high-speed maneuvering targets

作　　者：杨宇超 方明 赵晨帆 王玥琪 方刚 YANG Yuchao;FANG Ming;ZHAO Chenfan;WANG Yueqi;FANG Gang(Shanghai Aerospace Electronic Technology Institute,Shanghai 201109,China)

机构地区：[1]上海航天电子技术研究所,上海201109

出　　处：《系统工程与电子技术》2022年第12期3811-3820,共10页Systems Engineering and Electronics

摘　　要：长时间相参积累是提高雷达探测性能的重要技术之一。在高速高机动目标的长时间积累过程中引起的距离走动、距离弯曲、多普勒频率走动与多普勒频率弯曲效应会带来严重的积累信噪比(signal-to-noise ratio,SNR)损失,进而使得噪声背景下雷达难以有效发现探测目标的存在。针对上述问题,提出了一种针对高速机动目标的参数化长时间积累算法。首先,使用keystone变换(keystone transform,KT)校正了线性距离走动。然后,使用相参积累型修正三阶相位函数(coherently integrated modified cubic phase function,CIMCPF)与相参积累型修正高阶模糊函数(coherently integrated modified high-order ambiguous function,CIMHAF)算法分别完成了对一阶和二阶加速度的参数估计。得益于CIMCPF与CIMHAF对信号相参特性的利用,该算法在低信噪比下依然有效。同时,由于没有对参数网格搜索的过程,算法的计算复杂度也较低。仿真实验与分析证实了所提算法的优异性能。Long-time coherent integration is one of the important techniques to improve radar detection performance.The range migration(RM),range curvation(RC),Doppler frequency migration(DFM)and Doppler frequency curvation(DFC)induced by the movement of high-speed maneuvering target during the long-time coherent integration would bring about serious integration signal-to-noise ratio(SNR)loss,which may furthermore cause the target detection performance of the radar sharp deterioration in the background of noise.In order to solve the problem,the paper proposes a parameterized long-time integration algorithm for high-speed maneuvering targets.The method applies keystone transform(KT)to eliminate linear RM firstly.Then coherently integrated modified cubic phase function(CIMCPF)and coherently integrated modified high-order ambiguous function(CIMHAF)methods are utilized respectively to estimate the first-order and second-order accelerations.Thanks to the use of signal coherent property,the method is still effective at low signal-to-noise ratio.Furthermore,since there is no brute-force search process,the computational complexity of the method is low.Simulation results and analysis demonstrate the excellent performance of the proposed method.

关 键 词：长时间相参积累 KEYSTONE变换 相参积累型修正三阶相位函数 相参积累型修正高阶模糊函数 参数估计 

分 类 号：TN958.2[电子电信—信号与信息处理]