Clutter Rank Estimation for Reduce-Dimension Space-Time Adaptive Processing MIMO Radar

Clutter Rank Estimation for Reduce-Dimension Space-Time Adaptive Processing MIMO Radar

Estimation of clutter rank in the reduce-dimension (RD) domain has great importance for RD space-time adaptive processing (STAP) algorithms. In this letter, clutter rank estimation rules of RD STAP algorithms for multiple input multiple output (MIMO) radar with different parameters are developed. Th...

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Veröffentlicht in:IEEE sensors journal 2017-01, Vol.17 (2), p.238-239
Hauptverfasser: Feng, Weike, Zhang, Yongshun, He, Xingyu
Format: Artikel
Sprache:eng
Schlagworte:
Airborne radar
Clutter
Clutter rank
Eigenvalues and eigenfunctions
Estimation
MIMO
MIMO radar
reduce-dimension
STAP
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Zusammenfassung:Estimation of clutter rank in the reduce-dimension (RD) domain has great importance for RD space-time adaptive processing (STAP) algorithms. In this letter, clutter rank estimation rules of RD STAP algorithms for multiple input multiple output (MIMO) radar with different parameters are developed. The accuracy of the proposed rules is verified and the way to design RD MIMO STAP processor under the guidance of the proposed rules is presented.
ISSN:1530-437X
1558-1748
DOI:10.1109/JSEN.2016.2632308