Spatially distributed target detection based on EM algorithm and information-theoretic criteria

被引：0
|
作者：
Li T. [1 ]
Feng D.-Z. [1 ]
Xia Y.-Y. [1 ]
机构：
[1] National Lab for Radar Signal Processing, Xidian University
来源：
Dianzi Yu Xinxi Xuebao/Journal of Electronics and Information Technology | 2010年 / 32卷 / 04期
关键词：
Constant False Alarm Rate(CFAR); Distributed target detection; Expectation Maximization (EM); Generalized Likelihood Rate Test(GLRT);
D O I：
10.3724/SP.J.1146.2009.00493
中图分类号：
学科分类号：
摘要：
A new detection algorithm based on Expectation Maximization (EM) algorithm and information-theoretic criteria for a spatially distributed, range walking and rotating target during a Coherent Processing Interval (CPI) are proposed. The proposed detector is acquired by estimating signal from every range cell in each given velocity through the information-theoretic criteria and EM method and utilizing the characteristics of strong scattering cells relevant to the target's scattering geometry and the correlation of adjacent given velocities. Furthermore, Constant False Alarm Rate (CFAR) property with respect to the unknown noise power is proved. Finally, experimental results for measured data of two planes illustrate that the proposed algorithm achieve a visible performance improvement comparing with conventional GLRT and non-coherent integration.
引用
收藏
页码：908 / 912
页数：4
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