Paper Info
Title
Experimental demonstration of cognitive radar for target localization under strong interference
Abstract
One of the major objectives of cognitive radar is to form a dynamic closed feedback loop to adapt the spectrum of transmit waveforms to avoid certain interference. In this paper, we build an automatic closed-loop cognitive radar to support experimental study of the radar system in real-world situations. Convex optimization is applied to jointly design sounding waveforms and the matched filters with spectral power suppressed in arbitrary bands and with low correlation sidelobes as well. Target localization is demonstrated under strong interferences. Experimental results are provided to evaluate the performance of the cognitive radar system.
Year
DOI
Venue
2012
10.1109/MILCOM.2012.6415695
MILCOM
Keywords
Field
DocType
cognitive radio,convex programming,radar,radiofrequency interference,automatic closed-loop cognitive radar,cognitive radar system,convex optimization,dynamic closed feedback,experimental demonstration,matched filters,sounding waveforms,spectral power,strong interference,target localization,transmit waveforms,mimo distributed radar,closed-loop,waveform diversity
Radar,Pulse-Doppler radar,Radar engineering details,Continuous-wave radar,Computer science,Electronic engineering,Bistatic radar,Matched filter,Low probability of intercept radar,Passive radar
Conference
ISSN
ISBN
Citations 
2155-7578
978-1-4673-1729-0
4
PageRank 
References 
Authors
0.65
3
4
Name
Order
Citations
PageRank
Xia Li158873.46
Zhen Hu215112.04
Robert Caiming Qiu385788.17
Wicks, M.C.440.65