ITERATIVE SPACE-TIME ADAPTIVE PROCESSING

被引：6
|
作者：
Li, J. [1 ]
Zhu, X. [1 ]
Stoica, R. [2 ]
Rangaswamy, M. [3 ]
机构：
[1] Univ Florida, Dept Elect & Comp Engn, Gainesville, FL 32611 USA
[2] Uppsala Univ, Dept Informat Technol, Uppsala, Sweden
[3] Hanscom AFB, Air Force Res Lab Sensors Directorate, Bedford, MA 01731 USA
来源：
2009 IEEE 13TH DIGITAL SIGNAL PROCESSING WORKSHOP & 5TH IEEE PROCESSING EDUCATION WORKSHOP, VOLS 1 AND 2, PROCEEDINGS | 2009年
基金：
美国国家科学基金会; 瑞典研究理事会;
关键词：
RADAR; KNOWLEDGE;
D O I：
10.1109/DSP.2009.4785964
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
To reduce the need of secondary data and/or accurate prior knowledge of the clutter statistics in space-time adaptive processing (STAP), we present herein a user parameter-free and secondary data-free fully automatic weighted least squares based iterative adaptive approach (IAA) to angle-Doppler imaging for airborne surveillance radar systems.
引用
收藏
页码：440 / +
页数：2
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