Multidimensional Low-Rank Filter based on the AU-HOSVD for MIMO STAP - Archive ouverte HAL
Conference Papers Year : 2013

Multidimensional Low-Rank Filter based on the AU-HOSVD for MIMO STAP

Abstract

We propose in this paper a new low rank filter for MIMO STAP (Multiple Input Multiple Output Space Time Adaptive Processing) based on the AU-HOSVD (Alternative Unfolding Higher Order Singular Value Decomposition). This decomposition called the AU-HOSVD is able to process data in correlated dimensions which is desirable for STAP methods. We apply the new filter to MIMO STAP simulated data. The results are encouraging and outperforms the conventional STAP 2D filter in terms of number of secondary data.
Fichier principal
Vignette du fichier
CAMSAP_AUHOSVD_MIMOSTAP.pdf (317.96 Ko) Télécharger le fichier
Origin Files produced by the author(s)
Loading...

Dates and versions

hal-00933556 , version 1 (20-01-2014)

Identifiers

Cite

Mélanie Boizard, Frédéric Brigui, Guillaume Ginolhac, Frédéric Pascal, Philippe Forster, et al.. Multidimensional Low-Rank Filter based on the AU-HOSVD for MIMO STAP. 2013 IEEE 5th International Workshop on Computational Advances in Multi-Sensor Adaptive Processing (CAMSAP 2013) , Dec 2013, Saint Martin, France. pp.1-4, ⟨10.1109/CAMSAP.2013.6714095⟩. ⟨hal-00933556⟩
317 View
202 Download

Altmetric

Share

More