DocumentCode :
1896022
Title :
The RSMI algorithm for airborne MTI radar
Author :
Hermesmeyer, E. ; Bermudez, Jose C. M.
Author_Institution :
Fed. Univ. of Santa Catarina, Florianopolis
fYear :
2005
fDate :
17-20 July 2005
Firstpage :
930
Lastpage :
933
Abstract :
We introduce a new space-time adaptive processing (STAP) algorithm for clutter mitigation in airborne MTI radar systems. The algorithm, named RSMI, is order-recursive and allows data processing in the fast-time, an idle period for most algorithms (data acquisition period). We show that the RSMI optimum output converges in the mean-square sense to the SMI optimum output as the number of pulses increases from 1 to the SMI order, always with smaller computational cost. We also show that the whole CPI may not be required to obtain satisfactory performance. Thus, the new algorithm opens the possibility of real-time adaptation to further reduce complexity
Keywords :
airborne radar; computational complexity; data acquisition; matrix algebra; mean square error methods; radar clutter; radar signal processing; space-time adaptive processing; RSMI algorithm; STAP; airborne MTI radar; clutter mitigation; data acquisition period; data processing; mean-square sense; reduce complexity; space-time adaptive processing; Airborne radar; Cost function; Covariance matrix; Data acquisition; Data processing; Equations; Radar clutter; Sensor arrays; Spaceborne radar; Testing;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Statistical Signal Processing, 2005 IEEE/SP 13th Workshop on
Conference_Location :
Novosibirsk
Print_ISBN :
0-7803-9403-8
Type :
conf
DOI :
10.1109/SSP.2005.1628727
Filename :
1628727
Link To Document :
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