MIMO Radar Angle-Doppler Imaging via Iterative Space-Time Adaptive Processing

被引：3
|
作者：
Xue, Ming [1 ]
Zhu, Xumin [1 ]
Li, Jian [1 ]
Vu, Duc [1 ]
Stoica, Pare [2 ]
机构：
[1] Univ Florida, Dept Elect & Comp Engn, Gainesville, FL 32611 USA
[2] Uppsala Univ, Dept Informat Technol, S-75105 Uppsala, Sweden
来源：
2009 INTERNATIONAL WAVEFORM DIVERSITY AND DESIGN CONFERENCE | 2009年
基金：
瑞典研究理事会; 欧洲研究理事会; 美国国家科学基金会;
关键词：
D O I：
10.1109/WDDC.2009.4800330
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：
We consider using multi-input multi-output (MIMO) radar to improve the ground moving target indication (GMTI) performance, especially for slowly moving targets, for airborne surveillance systems. The increased virtual aperture afforded by MIMO radar systems enables many advantages, including enhanced spatial resolution, improved parameter identifiability and better performance for GMTI. To obviate the need of secondary data for space-time adaptive processing (STAP), we apply herein a user parameter-free and secondary data-free fully automatic weighted least squares based iterative adaptive approach (IAA) to angle-Doppler imaging via a standard MIMO scheme, two simplified MIMO schemes (which employ switching strategies for transmission), and also a conventional single-input multi-output (SIMO) scheme. The high-resolution angle-Doppler images formed by IAA, using the primary data only, are provided to compare the performance of the three MIMO schemes as well as the SIMO scheme.
引用
收藏
页码：129 / +
页数：4
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