DocumentCode
1268739
Title
New approach to target identification by use of a robust algorithm for optimal matching of wideband radar signal to target
Author
Ghadimi, N. ; Bastani, M.H.
Author_Institution
Electr. Eng. Fac., Sharif Univ. of Technol., Tehran, Iran
Volume
149
Issue
1
fYear
2002
fDate
2/1/2002 12:00:00 AM
Firstpage
16
Lastpage
22
Abstract
Using an array of coupled oscillators, a novel broadband radar signalling scheme is introduced. It is shown that the collective output of the oscillator array is a flexible signal that can be matched to a target at a specific aspect. Also, a new robust algorithm based on eigenvectors of the correlation matrix is introduced, by which the generated signal can be matched to the target over a limited range of aspects. This capability is important, because radars are unable to estimate the aspect of a real target precisely. In this new approach to radar target identification, after estimation of the approximate aspect of an unknown target, a variety of waveforms matched to different potential targets are synthesised and transmitted to the target in turn. The maximum peak power of the backscattered signals will then specify the identity of the target. Computer simulations have shown that this technique is robust to both additive noise and aspect angle uncertainty
Keywords
array signal processing; correlation methods; eigenvalues and eigenfunctions; matrix algebra; oscillators; parameter estimation; radar signal processing; radar target recognition; telecommunication signalling; additive noise; approximate aspect estimation; aspect angle uncertainty; backscattered signals; broadband radar signalling; collective output; computer simulations; correlation matrix; coupled oscillators array; eigenvectors; maximum peak power; optimal matching; radar target; radar target identification; real target aspect estimation; robust algorithm; signal generator; target identification; waveforms; wideband radar signal;
fLanguage
English
Journal_Title
Radar, Sonar and Navigation, IEE Proceedings -
Publisher
iet
ISSN
1350-2395
Type
jour
DOI
10.1049/ip-rsn:20020070
Filename
993567
Link To Document