DocumentCode :
2631924
Title :
A Generalized Formulation for Adaptive Pulse Compression of Multistatic Radar
Author :
Blunt, Shannon D. ; Gerlach, Karl
Author_Institution :
Dept. of Electr. Eng. & Comput. Sci., Kansas Univ., Lawrence, KS
fYear :
2006
fDate :
12-14 July 2006
Firstpage :
349
Lastpage :
353
Abstract :
For the return signal at a radar receiver comprised of radar returns from K illuminating radars operating in the same spectrum in near proximity, the multistatic adaptive pulse compression (MAPC) algorithm has been shown to effectively separate and subsequently pulse compress the multiple signals such that range sidelobes and cross-correlation sidelobes are minimized in the mean square-error (MSE) sense. This previous formulation implicitly assumed that the K radars possess very good control of sidelobe emissions. However, sidelobe control on transmit results in mainbeam spreading and loss, which is often unacceptable. In this paper, a generalized framework is developed which accounts for all of the inherent signals that are incident at a given radar receiver. In general, these signals collectively originate from the respective transmit mainbeams and sidelobes of the K illuminating radars and are then reflected into the receive mainbeam and sidelobes of the given radar receiver
Keywords :
adaptive signal processing; mean square error methods; pulse compression; radar receivers; radar signal processing; K illuminating radars; MSE; adaptive pulse compression; cross-correlation sidelobes; mean square-error; multistatic adaptive pulse compression; multistatic radar; radar receiver; receive mainbeam; transmit mainbeams; Bandwidth; Computer science; Interference; Laboratories; Lighting; Propagation losses; Pulse compression methods; Radar applications; Radio frequency; Radio transmitters;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Sensor Array and Multichannel Processing, 2006. Fourth IEEE Workshop on
Conference_Location :
Waltham, MA
Print_ISBN :
1-4244-0308-1
Type :
conf
DOI :
10.1109/SAM.2006.1706152
Filename :
1706152
Link To Document :
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