IEICE TRANSACTIONS on Communications
An Estimation Algorithm of Target Location and Scattered Waveforms for UWB Pulse Radar Systems
Summary :
Radars utilizing ultra-wide-band (UWB) pulses are attractive as an environment measurement method for various applications including household robots. Suitable filtering is essential for accurate ranging, which requires an accurate waveform estimation. This paper presents a high-resolution algorithm of estimating target location and scattered waveforms, whose accuracies are interdependent. The technique relies on iterative improvements of estimated waveforms. Description of the algorithm is followed by statistical simulation examples. The performance of the algorithm is contrasted with conventional ones and statistical bounds. Results indicate that our proposed algorithm has a remarkable performance, which is close to the theoretical limit. Next, we clarify the problem of applying HCT to multiple targets. HCT for multiple targets can not be used as an estimated waveform because of interference waves from other targets. We propose an interference suppression algorithm based on a neural network, and show an application example of the algorithm.
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- IEICE TRANSACTIONS on Communications Vol.E87-B No.6 pp.1631-1638
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- 2004/06/01
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Takuya SAKAMOTO, Toru SATO, "An Estimation Algorithm of Target Location and Scattered Waveforms for UWB Pulse Radar Systems" in IEICE TRANSACTIONS on Communications,
vol. E87-B, no. 6, pp. 1631-1638, June 2004, doi: .
Abstract: Radars utilizing ultra-wide-band (UWB) pulses are attractive as an environment measurement method for various applications including household robots. Suitable filtering is essential for accurate ranging, which requires an accurate waveform estimation. This paper presents a high-resolution algorithm of estimating target location and scattered waveforms, whose accuracies are interdependent. The technique relies on iterative improvements of estimated waveforms. Description of the algorithm is followed by statistical simulation examples. The performance of the algorithm is contrasted with conventional ones and statistical bounds. Results indicate that our proposed algorithm has a remarkable performance, which is close to the theoretical limit. Next, we clarify the problem of applying HCT to multiple targets. HCT for multiple targets can not be used as an estimated waveform because of interference waves from other targets. We propose an interference suppression algorithm based on a neural network, and show an application example of the algorithm.
URL: https://global.ieice.org/en_transactions/communications/10.1587/e87-b_6_1631/_p
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@ARTICLE{e87-b_6_1631,
author={Takuya SAKAMOTO, Toru SATO, },
journal={IEICE TRANSACTIONS on Communications},
title={An Estimation Algorithm of Target Location and Scattered Waveforms for UWB Pulse Radar Systems},
year={2004},
volume={E87-B},
number={6},
pages={1631-1638},
abstract={Radars utilizing ultra-wide-band (UWB) pulses are attractive as an environment measurement method for various applications including household robots. Suitable filtering is essential for accurate ranging, which requires an accurate waveform estimation. This paper presents a high-resolution algorithm of estimating target location and scattered waveforms, whose accuracies are interdependent. The technique relies on iterative improvements of estimated waveforms. Description of the algorithm is followed by statistical simulation examples. The performance of the algorithm is contrasted with conventional ones and statistical bounds. Results indicate that our proposed algorithm has a remarkable performance, which is close to the theoretical limit. Next, we clarify the problem of applying HCT to multiple targets. HCT for multiple targets can not be used as an estimated waveform because of interference waves from other targets. We propose an interference suppression algorithm based on a neural network, and show an application example of the algorithm.},
keywords={},
doi={},
ISSN={},
month={June},}
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TY - JOUR
TI - An Estimation Algorithm of Target Location and Scattered Waveforms for UWB Pulse Radar Systems
T2 - IEICE TRANSACTIONS on Communications
SP - 1631
EP - 1638
AU - Takuya SAKAMOTO
AU - Toru SATO
PY - 2004
DO -
JO - IEICE TRANSACTIONS on Communications
SN -
VL - E87-B
IS - 6
JA - IEICE TRANSACTIONS on Communications
Y1 - June 2004
AB - Radars utilizing ultra-wide-band (UWB) pulses are attractive as an environment measurement method for various applications including household robots. Suitable filtering is essential for accurate ranging, which requires an accurate waveform estimation. This paper presents a high-resolution algorithm of estimating target location and scattered waveforms, whose accuracies are interdependent. The technique relies on iterative improvements of estimated waveforms. Description of the algorithm is followed by statistical simulation examples. The performance of the algorithm is contrasted with conventional ones and statistical bounds. Results indicate that our proposed algorithm has a remarkable performance, which is close to the theoretical limit. Next, we clarify the problem of applying HCT to multiple targets. HCT for multiple targets can not be used as an estimated waveform because of interference waves from other targets. We propose an interference suppression algorithm based on a neural network, and show an application example of the algorithm.
ER -
English
