Micro-Doppler signature classification

被引：0

作者：

Smith, Graeme E. ^{[1
]}

Woodbridge, Karl ^{[1
]}

Baker, Chris J. ^{[2
]}

机构：

[1] UCL, Dept Elect & Elect Engn, London, England

[2] Australian Natl Univ, Coll Engn & Comp Sci, Canberra, ACT 0200, Australia

来源：

PROCEEDINGS OF 2006 CIE INTERNATIONAL CONFERENCE ON RADAR, VOLS 1 AND 2 | 2006年

关键词：

micro-Doppler signature; non-cooperative target identification; dynamic time warping; k-nearest neighbours;

D O I：

暂无

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

The micro-Doppler signature of a target is a time varying frequency modulation imparted on the radar echo signal by moving components of the target. Battlefield radar output the radar's baseband signal as audio and soldiers listening on headphones are able to identify the target from its micro-Doppler signature. Automation of this capability is desirable for improved reliability and reduction in classification time. For the first time dynamic time warping (DTW), a speech recognition technique, has been applied to the problem.

引用

页码：1436 / +

页数：2

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