Experimental demonstration of cognitive radar for target localization under strong interference

Author

Xia Li ; Zhen Hu ; Qiu, Robert C. ; Wicks, Michael

Author_Institution

Dept. of Electr. & Comput. Eng., Tennessee Technol. Univ., Cookeville, TN, USA

fYear

2012

fDate

Oct. 29 2012-Nov. 1 2012

Firstpage

1

Lastpage

6

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.

Keywords

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; Baseband; Convex functions; Interference; Radar; Receivers; Registers; Transmitters; MIMO distributed radar; closed-loop; convex optimization; waveform diversity;

fLanguage

English

Publisher

ieee

Conference_Titel

MILITARY COMMUNICATIONS CONFERENCE, 2012 - MILCOM 2012

Conference_Location

Orlando, FL

ISSN

2155-7578

Print_ISBN

978-1-4673-1729-0

Type

conf

DOI

10.1109/MILCOM.2012.6415695

Filename

6415695