Multidimensional low-rank filter based on the AU-HOSVD for MIMO STAP

Maxime Boizard,Hong Bo Sun,Guillaume Ginolhac,Frederic Brigui,Philippe Forster,Frederic Pascal

doi:10.1109/camsap.2013.6714095

Multidimensional low-rank filter based on the AU-HOSVD for MIMO STAP

Maxime Boizard, Hong Bo Sun + Show 4 more

Open Access

https://doi.org/10.1109/camsap.2013.6714095

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Publication Date: Dec 1, 2013

Citations: 7

Affiliation: Nanyang Technological University, Laboratoire d'Annecy-le-Vieux de Physique Théorique, French National Centre for Scientific Research, École Normale Supérieure Paris-Saclay

#Space Time Adaptive Processing #Higher Order Singular Value Decomposition + Show 8 more

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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.

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