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.
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Shouhei KIDERA, Takuya SAKAMOTO, Toru SATO, "A High-Resolution Imaging Algorithm without Derivatives Based on Waveform Estimation for UWB Radars" in IEICE TRANSACTIONS on Communications,
vol. E90-B, no. 6, pp. 1487-1494, June 2007, doi: 10.1093/ietcom/e90-b.6.1487.
Abstract: 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.
URL: https://global.ieice.org/en_transactions/communications/10.1093/ietcom/e90-b.6.1487/_p
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@ARTICLE{e90-b_6_1487,
author={Shouhei KIDERA, Takuya SAKAMOTO, Toru SATO, },
journal={IEICE TRANSACTIONS on Communications},
title={A High-Resolution Imaging Algorithm without Derivatives Based on Waveform Estimation for UWB Radars},
year={2007},
volume={E90-B},
number={6},
pages={1487-1494},
abstract={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.},
keywords={},
doi={10.1093/ietcom/e90-b.6.1487},
ISSN={1745-1345},
month={June},}
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TY - JOUR
TI - A High-Resolution Imaging Algorithm without Derivatives Based on Waveform Estimation for UWB Radars
T2 - IEICE TRANSACTIONS on Communications
SP - 1487
EP - 1494
AU - Shouhei KIDERA
AU - Takuya SAKAMOTO
AU - Toru SATO
PY - 2007
DO - 10.1093/ietcom/e90-b.6.1487
JO - IEICE TRANSACTIONS on Communications
SN - 1745-1345
VL - E90-B
IS - 6
JA - IEICE TRANSACTIONS on Communications
Y1 - June 2007
AB - 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.
ER -