Distance detection method to the aircraft wake vortex based on AR model

被引：0
|
作者：
Zhao X. [1 ]
Wang S. [1 ]
机构：
[1] Department of Air Space-Based Early Warning Equipment, Air Force Early Warning Academy, Wuhan
来源：
Xi Tong Gong Cheng Yu Dian Zi Ji Shu/Systems Engineering and Electronics | 2017年 / 39卷 / 04期
关键词：
Aircraft wake vortex; Autoregressive (AR) model; Geodesic distance; Information geometry; α-divergence;
D O I：
10.3969/j.issn.1001-506X.2017.04.06
中图分类号：
学科分类号：
摘要：
The wake vortex's unique electromagnetic scattering characteristics makes the traditional detection methods which is based on fast Fourier transformation (FFT) not applicable. Firstly, the spectrum estimation method based on FFT has low resolution especially when the pulse sequence is short. Secondly, the wake vortex is an frequency domain extended target and its energy is decentralized in the frequency domain, so the single channel or multi-channel detection will lose much energy. The autoregressive (AR) power spectrum estimation method is used and a distance detector which can take full advantage of the wake votex's Doppler information is defined by using the distance between two AR models on the AR manifold, and the effectiveness of the distance detector is verified by comparing with traditional methods with simulated wake vortex data. © 2017, Editorial Office of Systems Engineering and Electronics. All right reserved.
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页码：726 / 732
页数：6
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