Fast-time STAP based on BSS for heterogeneous ionospheric clutter mitigation in HFSWR

被引：6
作者：
Guo, Yueyu [1 ,2 ]
Wei, Yinsheng [1 ,2 ]
Xu, Rongqing [1 ,2 ]
Yu, Lei [1 ,2 ]
机构：
[1] Harbin Inst Technol, Sch Elect & Informat Engn, Harbin 150001, Peoples R China
[2] Minist Ind & Informat Technol, Key Lab Marine Environm Monitoring & Informat Pro, Harbin 150001, Peoples R China
来源：
IET RADAR SONAR AND NAVIGATION | 2020年 / 14卷 / 06期
基金：
美国国家科学基金会;
关键词：
interference suppression; space-time adaptive processing; object detection; covariance matrices; radar signal processing; blind source separation; array signal processing; antenna arrays; radar clutter; HFSWR; aircraft detection; sea-state sensing; wind-field mapping; target detection suffers; ionosphere; adaptive beamforming; degrees of freedom; antennas array; one-dimensional ABF; fast-time space-time adaptive processing; beam; range domains; blind sources separation method; heterogeneous ionospheric clutter background; BSS-STAP method; fast-time STAP; heterogeneous ionospheric clutter mitigation; high-frequency surface-wave radar; HF; CANCELLATION;
D O I：
10.1049/iet-rsn.2019.0616
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
High-frequency surface-wave radar (HFSWR) is widely used in vessel and aircraft detection, sea-state sensing and wind-field mapping. Target detection suffers from the ionospheric clutter, which is reflected by the ionosphere. Adaptive beamforming (ABF) has been used for ionospheric clutter mitigation. However, the performance of ABF is limited by the heterogeneous ionospheric clutter and degrees of freedom (DOF) of the antennas array. In order to improve the performance, here, the one-dimensional ABF is expanded to two-dimensional fast-time space-time adaptive processing (STAP), which combines beam and range domains to obtain more DOFs than that in the ABF. In addition, the blind sources separation (BSS) method is also used to improve the spatial covariance matrix estimation accuracy of STAP in the heterogeneous ionospheric clutter background. The simulation and real data results demonstrate the effectiveness of the proposed BSS-STAP method in HFSWR.
引用
收藏
页码：927 / 934
页数：8
相关论文
共 26 条
[1]  
Abramovich Y., 1996, 1996 8th European Signal Processing Conference (EUSIPCO 1996), P1
[2]   Stochastic-constraints method in nonstationary hot-clutter cancellation - Part II: Unsupervised training applications [J].
Abramovich, YI ;
Spencer, NK ;
Anderson, SJ .
IEEE TRANSACTIONS ON AEROSPACE AND ELECTRONIC SYSTEMS, 2000, 36 (01) :132-150
[3]  
Chen SY, 2015, IEEE ANTENNAS PROP, P999, DOI 10.1109/APS.2015.7304887
[4]   A Vertical Reflection Ionospheric Clutter Model for HF Radar Used in Coastal Remote Sensing [J].
Chen, Shuyan ;
Huang, Weimin ;
Gill, Eric W. .
IEEE ANTENNAS AND WIRELESS PROPAGATION LETTERS, 2015, 14 :1689-1693
[5]  
Comon Pierre CJ, 2010, Handbook of Blind Source Separation: Independent component analysis and applications
[6]  
Fabrizio G.A., 2004, IEEE INT RAD C AD AU, P235
[7]  
Fabrizio G.A., 2013, HIGH FREQUENCY OVER, P388
[8]   Robust adaptive beamforming for HF surface wave over-the-horizon radar [J].
Fabrizio, GA ;
Gershman, AB ;
Turley, MD .
IEEE TRANSACTIONS ON AEROSPACE AND ELECTRONIC SYSTEMS, 2004, 40 (02) :510-525
[9]   Blind source separation with the generalised estimation of multipath signals algorithm [J].
Fabrizio, Giuseppe ;
Farina, Alfonso .
IET RADAR SONAR AND NAVIGATION, 2014, 8 (09) :1255-1266
[10]   New BSS-based ABF for heterogeneous ionospheric clutter mitigation in HFSWR [J].
Guo, Yueyu ;
Wei, Yinsheng ;
Xu, Rongqing ;
Yu, Lei .
IET RADAR SONAR AND NAVIGATION, 2019, 13 (11) :2015-2023
123