[1]何团,唐波,张进,等.网格失配下MIMO-STAP稀疏字典构造方法[J].探测与控制学报,2020,42(02):106.[doi:.]
 HE Tuan,TANG Bo,ZHANG Jin,et al.MIMO STAP Sparse Dictionary Construction Method under Off-grid Condition[J].,2020,42(02):106.[doi:.]
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网格失配下MIMO-STAP稀疏字典构造方法()
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《探测与控制学报》[ISSN:1008-1194/CN:61-1316/TJ]

卷:
42
期数:
2020年02
页码:
106
栏目:
出版日期:
2020-04-15

文章信息/Info

Title:
MIMO STAP Sparse Dictionary Construction Method under Off-grid Condition
文章编号:
1008-1194(2020)02-0106-06
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 BoZHANG JinZHANG Yu
College of Electronic Engineering, National University of Defense Technology, Hefei 230037, China
关键词:
多输入多输出空时自适应处理稀疏恢复字典构造方法
Keywords:
multiple-input multiple-output (MIMO) space-time adaptive processing (STAP) sparse recovery dictionary construction method
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)技术使用稀疏方法求解杂波谱时存在的网格失配问题,提出了一种字典构造方法。该方法首先使用先验知识得到准确的杂波脊线,然后沿杂波脊线方向及其垂直方向形成网格,最后将各网格节点对应的空时导向矢量取出并将空间频率和多普勒频率超出最大取值范围的原子去除以得到能克服网格失配的字典。仿真实验表明,使用该字典可有效克服网格失配问题,网格失配条件下稀疏算法使用该字典的输出SINR性能要远优于传统字典。
Abstract:
A dictionary construction method was proposed for space-time adaptive processing(STAP) of multiple-input multiple-output (MIMO) radar to solve the off-grid problem. In this method, the accurate clutter ridge was firstly obtained by using priori knowledge, and then grids were formed along the direction and the vertical direction of the clutter ridge. Finally, the space-time steering vector corresponding to each grid node was taken out and the atoms whose spatial frequency and doppler frequency exceeded the maximum range were removed to obtain the dictionary which could solve the off-grid problem. The simulation results showed that using this dictionary could effectively solve the off-grid problem, and the output SINR performance of the sparse algorithm using this dictionary was far better than that of the traditional dictionary under the off-grid condition.

参考文献/References:

[1]Klemm R. Introduction to space-time adaptive processing[J]. Electronics & Communications Engineering Journal, 1999, 11(1):5-12.
[2]Reed I S,Mallett J D, Brennan L E. Rapid convergence rate in adaptive arrays[J].IEEE Transactions on Aerospace and Electronic Systems, 1974 (6): 853-863.
[3]Duan K, Wang Z, Xie W, et al. Sparsity-based STAP algorithm with multiple measurement vectors via sparse Bayesian learning strategy for airborne radar[J]. Iet Signal Processing, 2017, 11(5):544-553.
[4]阳召成, 黎湘, 王宏强. 基于空时功率谱稀疏性的空时自适应处理技术研究进展[J]. 电子学报, 2014, 42(6):1194-1204.
[5]Tang B, Li J, Zhang Y, et al. Design of MIMO radar waveform covariance matrix for clutter and jamming suppression based on space time adaptive processing[J]. Signal Processing, 2016, 121: 60-69.
[6]Tang B, Tang J. Joint design of transmit waveforms and receive filters for MIMO radar space-time adaptive processing[J]. IEEE Transactions on Signal Processing, 2016, 64(18):4707-4722.
[7]Chi Y,Scharf L L, Pezeshki A, et al. Sensitivity to Basis Mismatch in Compressed Sensing[J]. IEEE Transactions on Signal Processing, 2011, 59(5):2182-2195.
[8]Duan K, Liu W, Duan G, et al. Off-grid effects mitigation exploiting knowledge of the clutter ridge for sparse recovery STAP[J]. IET Radar, Sonar & Navigation, 2018, 12(5):557-564.
[9]Bai G, Tao R, Zhao J, et al. Parameter-searched OMP method for eliminating basis mismatch in space-time spectrum estimation[J]. Signal Processing, 2017, 138: 11-15.
[10]李志汇, 张永顺, 高乾, 等. 基于局部搜索 OMP 的网格失配 STAP 算法[J]. 系统工程与电子技术, 2018, 40(6): 1221-1226.
[11]Feng W, Guo Y, He X, et al. Jointly iterative adaptive approach based space time adaptive processing using MIMO Radar[J]. IEEE Access, 2018(1):1-5.
[12]Wipf D P, Rao B D. Sparse Bayesian learning for basis selection[J]. IEEE Transactions on Signal Processing, 2004, 52(8):2153-2164.
[13]Stoica P, Zachariah D, Li J. Weighted SPICE: A unifying approach for hyperparameter-free sparse estimation[J]. Digital Signal Processing, 2014, 33: 1-12.

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备注/Memo

备注/Memo:
收稿日期:2019-11-04
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: 2020-05-15