Output details
13 - Electrical and Electronic Engineering, Metallurgy and Materials
University College London
Article title
Multistatic micro-Doppler radar signatures of personnel targets
Type
D - Journal article
Title of journal
IET Signal Processing
Article number
-
Volume number
4
Issue number
3
First page of article
224
ISSN of journal
1751-9675
Year of publication
2010
URL
-
Number of additional authors
3
Additional information
This paper reports classification of radar micro-Doppler signatures using methods normally used in speech recognition for the first time. The paper also introduces the use of information theoretical concepts in radar automatic target recognition systems. This technique is valuable in the defence area where knowledge of type and/or identity of all objects in the battle space is essential. (NATO-SET panel 180). Medical applications such as gait imaging are also possible and are being followed up in the UCL wireless detection programme. This work formed the basis for a book Chapter (Through-The-Wall Radar Imaging, editor Amin, M. G., CRC Press, 2011).
Interdisciplinary
-
Cross-referral requested
-
Research group
None
Proposed double-weighted
No
Double-weighted statement
-
Reserve for a double-weighted output
No
Non-English
No
English abstract
-
