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Open AccessArticle10.14989/doctor.k11247

Nonparametric Imaging Algorithms for UWB Pulse Radars

Takuya Sakamoto-2005-01-24-Kyoto University Research Information Repository (Kyoto University)

TL;DRAbstract

an application example of the algorithm.Next, we propose a fast imaging algorithm, SEABED, which can estimate target shapes accurately.We clarify the existence of a reversible transform between target shapes and delay time, which we call BST (Boundary Scattering Transform).SEABED is based on ii the BST which enables quick and accurate estimation.We show application examples of SEABED algorithm with numerical simulations.The performance of SEABED algorithm for inhomogeneous media is also studied.High-resolution imaging algorithms including SEABED algorithm utilize the carrier phase of received signals.However, their estimation accuracy suffers degradation due to phase rotation of the received signal because the phase depends on the shape of the target.We propose a phase compensation algorithm for high-resolution pulse radar systems.This algorithm improves the estimation accuracy without sacrificing the resolution using the proposed algorithm.Pulse radars are promising candidates for 3-d

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an application example of the algorithm.Next, we propose a fast imaging algorithm, SEABED, which can estimate target shapes accurately.We clarify the existence of a reversible transform between target shapes and delay time, which we call BST (Boundary Scattering Transform).SEABED is based on ii the BST which enables quick and accurate estimation.We show application examples of SEABED algorithm with numerical simulations.The performance of SEABED algorithm for inhomogeneous media is also studied.High-resolution imaging algorithms including SEABED algorithm utilize the carrier phase of received signals.However, their estimation accuracy suffers degradation due to phase rotation of the received signal because the phase depends on the shape of the target.We propose a phase compensation algorithm for high-resolution pulse radar systems.This algorithm improves the estimation accuracy without sacrificing the resolution using the proposed algorithm.Pulse radars are promising candidates for 3-d

Keywords

Computer scienceAlgorithmRadarNonparametric statisticsRemote sensingArtificial intelligenceGeologyTelecommunications

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