中文摘要：

尾流复杂的电磁散射特性使得传统基于快速傅里叶变换（fast Fourier ransformation，FFT）的频域检测方法不适用。首先，基于FFT的谱估计方法频率分辨率较低，尤其在短脉冲序列条件下性能较差；其次，尾流作为一种频域扩展目标，其回波能量在频域较为分散，单通道或多通道求和检测都会损失较多能量。利用分辨率更高的自回归（autoregressive，AR）模型进行谱估计，并基于AR流形上的距离定义一种距离检测器，将尾流谱整体进行检测，能充分利用尾流的多普勒信息，通过利用尾流数据对距离检测器和传统方法的检测性能进行仿真比较分析，验证了所提方法的有效性。

英文摘要：

The wake vortex＇s unique electromagnetic scattering characteristics makes the traditional detec- tion methods which is based on fast Fourier transformation （FFT） not applicable. Firstly, the spectrum estima- tion 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 esti- mation method is used and a distance detector which can take full advantage of the wake votex＇s Doppler infor- mation 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.