Intermittent Clutter Removal Approach for Wind Profiler Data Based on Fractional Fourier Transform

被引：0

作者：

袁磊 ^{[1
]}

安建平 ^{[1
]}

卜祥元 ^{[1
]}

机构：

[1] School of Information and Electronics,Beijing Institute of Technology

来源：

Journal of Beijing Institute of Technology | 2009年 / 18卷 / 03期

基金：

中国国家自然科学基金;

关键词：

wind profiler radar(WPR); fractional Fourier transform(FRFT); clutter excision;

D O I：

10.15918/j.jbit1004-0579.2009.03.021

中图分类号：

TN957.51 [雷达信号检测处理];

学科分类号：

080904 ; 0810 ; 081001 ; 081002 ; 081105 ; 0825 ;

摘要：

Through the analysis of the target characteristics and according to the intermittent clutter bursting and short duration characteristics,a new method for the clutter recognition based on the fractional Fourier transform(FRFT)is proposed.This method is predicated on the fact that the FRFT perfectly localizes a chirp signal as an impulse when the angle parameter of the transform matches the chirp rate of the chirp signal.The method involves detecting the presence of the intermittent clutter and correctly estimating its orientation in the time-frequency plane,removing the intermittent clutter in the fractional domain,and completing wind estimation by the power spectrum.By testing the artificial WPR-like signal and data measured from the field,we verify that the FRFT-based method is very effective.

引用

页码：318 / 322

页数：5

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