Robust STAP using reiterative censoring

Author

Gerlach, Karl ; Picciolo, Michael L.

Author_Institution

Naval Res. Lab., Washington, DC, USA

fYear

2003

fDate

5-8 May 2003

Firstpage

244

Lastpage

251

Abstract

Effective methods are developed for selecting sample snapshots for the training data used to compute the adaptive weights for an adaptive match filter; specifically a space/time adaptive processing (STAP) airborne radar configuration is considered. Several new robust adaptive algorithms are presented and evaluated against interference scenarios consisting of jamming, nonhomogeneous airborne clutter (generated by the RLSTAP model), internal system noise, and outliers (which could take the form of targets themselves). These algorithms use either the generalized inner product (GIP) or the adaptive power residue (APR) metrics in reiterative fashion for culling the training data.

Keywords

adaptive filters; airborne radar; jamming; matched filters; noise; radar clutter; radar signal processing; space-time adaptive processing; adaptive match filter; adaptive power residue metrics; airborne radar configuration; generalized inner product; interference scenarios; internal system noise; jamming; nonhomogeneous airborne clutter; reiterative censoring; robust STAP; robust adaptive algorithms; space-time adaptive processing; Adaptive algorithm; Adaptive filters; Airborne radar; Clutter; Interference; Jamming; Matched filters; Noise robustness; Power system modeling; Training data;

fLanguage

English

Publisher

ieee

Conference_Titel

Radar Conference, 2003. Proceedings of the 2003 IEEE

Print_ISBN

0-7803-7920-9

Type

conf

DOI

10.1109/NRC.2003.1203409

Filename

1203409