DYNAMIC PROGRAMMING TRACK BEFORE DETECT ALGORITHM FOR MULTISTATIC MIMO STAP RADAR

被引：0
|
作者：
Wang, Shusen [1 ]
Yu, Ze [1 ]
Guo, Yukun [1 ]
Sun, Liwei [1 ]
Yu, Yanan [1 ]
机构：
[1] Beihang Univ, Sch Elect Informat Engn, Beijing 100191, Peoples R China
来源：
IGARSS 2018 - 2018 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM | 2018年
关键词：
Multistatic MIMO radar; Signal Fluctuations; Dynamic Programming (DP); PERFORMANCE;
D O I：
暂无
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：
The airborne or spaceborne early warning radar faces great challenges of detecting and tracking weak moving targets with signal fluctuations. An adaptive detector is proposed to improve the detection performance by jointly processing the space-time data sets received by multistatic multiple-input multiple-output (MIMO) radar, and fusing the measurement vectors information. Monte-Carlo simulations demonstrate that the proposed detector can implement early detection of weak moving targets with the target detection probability 0.5 and the false alarm probability10(-1) under the condition of 5dB signal-to-noise ratio.
引用
收藏
页码：1300 / 1303
页数：4
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