Fundamental study on angular resolution improvement of SAR tomography by using Khatri-Rao Product virtual array processing

Kenichiro Suzuki,Masanori Gocho,Motofumi Arii,Hiroyoshi Yamada,Ryoichi Sato,Yoshio Yamaguchi,Shoichiro Kojima

doi:10.1109/isanp.2017.8228821

Fundamental study on angular resolution improvement of SAR tomography by using Khatri-Rao Product virtual array processing

Kenichiro Suzuki, Masanori Gocho + Show 5 more

https://doi.org/10.1109/isanp.2017.8228821

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Publication Date: Oct 1, 2017

Citations: 6

Affiliation: Niigata University, Mitsubishi Electric (Japan)

#Khatri-Rao #Suppression Of Ambiguity + Show 8 more

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Abstract

SAR Tomography (TomoSAR) regards multi-baseline observation data as array observation data and realizes three-dimensional imaging by applying direction of arrival (DOA) estimation processing. To improve angular resolution of the TomoSAR with suppressing ambiguity, many repeat-pass data are required. However, it is often difficult to increase the number of data because of the cost. In this paper, we propose to apply the Khatri-Rao (KR) product virtual array processing to the multi-baseline observation data. We show that the KR processing improves angular resolution of the TomoSAR and suppression of ambiguity by using the experimental data obtained by the Pi-SAR2-X.

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