DocumentCode :
2884943
Title :
MIMO clutter discrete probing for cognitive radar
Author :
Bergin, J.S. ; Guerci, J.R. ; Guerci, R.M. ; Rangaswamy, M.
Author_Institution :
Inf. Syst. Labs., Inc., Vienna, VA, USA
fYear :
2015
fDate :
10-15 May 2015
Firstpage :
1666
Lastpage :
1670
Abstract :
A new airborne radar mode is introduced that addresses the problem of high false alarm rates due to strong clutter discretes in the radar field of regard. The new mode takes advantage of emerging cognitive and fully adaptive radar (CoFAR) architectures that support rapid adaptation of the radar space-time transmit waveform. The new mode exploits this flexibility to both rapidly characterize strong clutter discretes and minimize their impact on target detection performance, while minimizing impact to radar timeline. The new mode leverages a MIMO probing approach that rapidly characterizes the clutter discretes in the scene and uses the received signals to form an appropriate space-time waveform response that minimizes their radar return and impact on radar performance during the processing of subsequent radar pulses. The paper provides details about the processing algorithms and presents a performance assessment based on a simulation of an airborne GMTI radar system.
Keywords :
MIMO radar; adaptive radar; airborne radar; radar clutter; radar detection; space-time adaptive processing; CoFAR architecture; Ground Moving Target ground moving target indicator radar; MIMO clutter discrete probing approach; airborne GMTI radar system; clutter discretes; cognitive radar; cognitive-fully-adaptive radar architecture; false alarm rate; performance assessment; radar field; radar pulse processing; radar return minimization; radar space-time transmit waveform response; radar timeline; target detection performance; Clutter; MIMO; Radar antennas; Radar clutter; Radar cross-sections; Spaceborne radar; Cognitive radar; GMTI; MIMO radar; adaptive waveforms; channel estimation; clutter probing; knowledge-aided (KA) processing; space-time adaptive processing (STAP);
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Radar Conference (RadarCon), 2015 IEEE
Conference_Location :
Arlington, VA
Print_ISBN :
978-1-4799-8231-8
Type :
conf
DOI :
10.1109/RADAR.2015.7131266
Filename :
7131266
Link To Document :
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