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作 者:胡子英 佘季 王寒冰 HU Ziying;SHE Ji;WANG Hanbing(No.8511 Institute of China Aerospace Science and Industry Corporation,Nanjing 210000,China)
机构地区:[1]中国航天科工集团八五一一研究所,南京210000
出 处:《空天预警研究学报》2023年第4期268-273,共6页JOURNAL OF AIR & SPACE EARLY WARNING RESEARCH
摘 要:针对稀疏重构空时自适应处理技术在低样本量时的非均匀海杂波抑制中存在大维度杂波测量矩阵和复杂迭代机制中的运算负担较大的问题,提出了一种快速SR-STAP海杂波抑制方法.通过回波空时解耦的方式降低了测量矩阵维度,减小了高维矩阵的运算负担;基于快速傅里叶变换获取频谱分布支撑集并构造先验矩阵因子,改进稀疏优化问题并通过调整因子权值加快收敛,以实现杂波频谱快速恢复.仿真结果验证了所提方法的低复杂度优势与可靠的海上目标检测性能.In the process of inhomogeneous sea clutter suppression in the case of low sample size,sparse reconstruction space-time adaptive processing technique has the problem of relatively large calculation burden in large dimension of clutter measurement matrix and the complex iteration mechanism.In view of the problem aforementioned,this paper proposes a fast SR-STAP clutter suppression method.The dimension of measurement matrix is reduced via the procedure of echo space-time decoupling,and the operation burden of high-dimensional matrix is reduced.Based on the fast Fourier transform,the spectrum distribution support set is obtained and the prior matrix factors are constructed.Besides,the sparse optimization is improved and the convergence is accelerated by adjusting the factor weights so as to achieve the rapid recovery of clutter spectrum.Simulation results show that the proposed method has the advantage of low complexity and reliable performance of marine target detection.
关 键 词:雷达预警检测 海杂波抑制 STAP 稀疏重构 低复杂度
分 类 号:TN957.51[电子电信—信号与信息处理]
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