Fundamental study on angular resolution improvement of SAR tomography by using Khatri-Rao Product virtual array processing
K Suzuki, M Gocho, H Yamada… - … on Antennas and …, 2017 - ieeexplore.ieee.org
K Suzuki, M Gocho, H Yamada, Y Yamaguchi, R Sato, M Arii, S Kojima
2017 International Symposium on Antennas and Propagation (ISAP), 2017•ieeexplore.ieee.orgSAR 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 …
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 …
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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