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A robust and fast imaging algorithm without derivative operations for UWB pulse radars

Shouhei Kidera, Takuya Sakamoto, Toru Sato

Year
2006
Citations
4

Abstract

Target shape estimation with UWB pulse radars is promising as an imaging technique for household robots. We have already proposed a fast imaging algorithm, SEABED based on a reversible transform BST (Boundary Scattering Transform) between the received signals and the target shape. However the target image obtained by SEABED deteriorates in a noisy environment because it utilizes a derivative of received data. In this paper, we propose a robust imaging method with an envelope of circles. In a numerical simulation, we clarify that the proposed method can realize a robust and fast imaging, which cannot be achieved by SEABED.

Keywords

Envelope (radar)SeabedComputer scienceAlgorithmPulse (music)Radar imagingMultipath propagationRobustness (evolution)Computer visionArtificial intelligence

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