A High-Resolution Imaging Algorithm without Derivatives Based on Waveform Estimation for UWB Radars

Shouhei KIDERA  Takuya SAKAMOTO  Toru SATO  

IEICE TRANSACTIONS on Communications   Vol.E90-B   No.6   pp.1487-1494
Publication Date: 2007/06/01
Online ISSN: 1745-1345
DOI: 10.1093/ietcom/e90-b.6.1487
Print ISSN: 0916-8516
Type of Manuscript: PAPER
Category: Sensing
UWB pulse radars,  fast and robust radar imaging,  inverse problem,  high resolution imaging,  edge detection,  

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UWB pulse radars enable us to measure a target location with high range-resolution, and so are applicable for measurement systems for robots and automobile. We have already proposed a robust and fast imaging algorithm with an envelope of circles, which is suitable for these applications. In this method, we determine time delays from received signals with the matched filter for a transmitted waveform. However, scattered waveforms are different from transmitted one depending on the target shape. Therefore, the resolution of the target edges deteriorates due to these waveform distortions. In this paper, a high-resolution imaging algorithm for convex targets is proposed by iteration of the shape and waveform estimation. We show application examples with numerical simulations and experiments, and confirm its capability to detect edges of an object.