[1]何团,唐波,张进,等.基于稀疏恢复的MIMO-STAP离散干扰抑制方法[J].探测与控制学报,2019,41(06):95.[doi:.]
 HE Tuan,TANG Bo,ZHANG Jin,et al.MIMO-STAP Discrete Interference Suppression Method Based on Sparse Recovery[J].,2019,41(06):95.[doi:.]
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基于稀疏恢复的MIMO-STAP离散干扰抑制方法()
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《探测与控制学报》[ISSN:1008-1194/CN:61-1316/TJ]

卷:
41
期数:
2019年06
页码:
95
栏目:
出版日期:
2020-01-15

文章信息/Info

Title:
MIMO-STAP Discrete Interference Suppression Method Based on Sparse Recovery
文章编号:
1008-1194(2019)06-0095-06
作者:
何团唐波张进张玉
国防科技大学电子对抗学院,安徽 合肥 230037
Author(s):
HE Tuan TANG Bo ZHANG Jin ZHANG Yu
College of Electronic Engineering, National University of Defence Technology, Hefei 230037, China
关键词:
多输入多输出空时自适应处理稀疏恢复离散干扰抑制
Keywords:
multiple-input multiple-output (MIMO) space-time adaptive processing (STAP) sparse recovery discrete interference suppression
分类号:
TN957
DOI:
.
文献标志码:
A
摘要:
针对机载多输入多输出(MIMO)雷达空时自适应处理(STAP)技术在训练样本存在离散干扰时杂波抑制性能严重下降的问题,提出了一种离散干扰抑制方法。该方法首先使用改进的正则化FOCUSS算法估计出各原子的空时功率谱值,然后将空时功率谱值较大的原子挑出并找到其在空时二维平面上的对应点,将这些点进行线性回归处理估计正侧视条件下杂波脊线的解析式,最后计算出各原子与杂波脊线的距离并将距离较远的原子剔除,从而去除离散干扰。仿真实验表明,该方法可有效克服离散干扰的影响,能够恢复出精确的杂波谱,得到的空时滤波器杂波抑制性能良好。
Abstract:
Aiming at the problem that the performance of airborne multi-input multi-output (MIMO) radar space-time adaptive processing (STAP) was seriously degraded when the training samples had discrete interference, a discrete interference suppression method was proposed. Firstly, the modified regularized FOCUSS algorithm was used to estimate the space-time power spectrum. Then the atoms with large values of space-time power spectrum were picked out and all the corresponding points were found on the space-time plane. Linear regression processing was carried out on these points to estimate the analytic expression of clutter ridge in side-looking case. Finally, the distance between each point and the clutter ridge was calculated, and the far away atoms would be removed to suppress discrete interference. Simulation results showed that the proposed algorithm could effectively overcome the influence of discrete interference and recover the accurate clutter spectrum,and that the obtained space-time filter had good clutter suppression performance.

参考文献/References:

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相似文献/References:

[1]魏民,李小波,周青松,等.全空间杂波功率计算方法[J].探测与控制学报,2017,39(01):52.[doi:.]
 WEI Min,LI Xiaobo,ZHOU Qingsong,et al.Whole Space Calculation Method of Clutter Power[J].,2017,39(06):52.[doi:.]
[2]何团,唐波,张进,等.基于改进OMP的非正侧视MIMO-STAP 算法[J].探测与控制学报,2019,41(05):41.[doi:.]
 HE Tuan,TANG Bo,ZHANG Jin,et al.An Non-side-looking MIMO-STAP Algorithm Based on Improved OMP[J].,2019,41(06):41.[doi:.]

备注/Memo

备注/Memo:
收稿日期:2019-05-07
基金项目:国家自然科学基金项目资助(61671453)
作者简介:何团(1994—),男,四川遂宁人,硕士研究生,研究方向:MIMO雷达空时自适应处理。E-mail:hetuandyx@163.com。

更新日期/Last Update: 2020-01-13