基于改进SPSF算法的长时间脉间积累算法  

A long-time interpulse accumulation algorithm based on improved SPSF algorithm

作　　者：刘海涵 LIU Haihan(The Eighth Research Academy of CSSC,Nanjing 211153)

机构地区：[1]中国船舶集团有限公司第八研究院,南京211153

出　　处：《雷达与对抗》2024年第2期16-24,共9页Radar & ECM

摘　　要：针对基于SPSF算法的Clean算法难以获得所需强目标运动精确参数,易造成信号能量损失的问题,提出一种基于改进SPSF算法的长时间脉间积累算法即KTR-ISPSF算法。首先采用KTR算法得到动目标的粗略参数,然后构建运动目标匹配模型,设置搜索区间,在区间范围内精确搜索强目标参数,根据搜索结果构建匹配项对消强目标,实现弱散射目标脉间能量的相参积累,最后通过仿真验证了算法的有效性。Addressing the difficulty of obtaining precise parameters for highly moving targets and the issue of signal energy loss in the Clean algorithm based on the SPSF(Sinc Point Spread Function)algorithm,a long-time interpulse accumulation algorithm based on the improved SPSF algorithm,namely the KTR-ISPSF algorithm,is proposed.The KTR algorithm is used to obtain coarse parameters of moving targets,and then it constructs a moving target matching model,sets a search interval,and performs precise parameter search for strong targets within this interval.Based on the search results,it constructs matching pairs to cancel strong targets and achieve coherent accumulation of interpulse energy from weak scattering targets.Finally,the effectiveness of the algorithm is verified through simulation.

关 键 词：目标检测 SPSF算法 KTR算法 RADON变换 

分 类 号：A[哲学宗教—马克思主义哲学]