IEICE TRANSACTIONS on Communications
A Novel UWB SRR for Target Velocity Measurement in Gaussian Noise Environment for Automobile Applications
Summary :
In this paper, we propose a time and memory efficient Ultra Wide Band Short Range Radar (UWB SRR) system for measuring relative target velocities of up to 150km/hr. First, for the proposed detector, we select the required design parameters for good performance. The parameters are the number of coherent integrations, non-coherent integrations, and FFT points. The conventional detector uses a Fast Fourier Transform (FFT) to extract the range and velocity of the target simultaneously. Therefore, it requires high computation effort, high FFT processing time, and a huge amount of memory. However, the proposed pulse radar detector first decides the target range and then computes the target velocity using FFT sequentially for the decided range index. According to our theoretical and simulation analyses, the FFT processing time and the memory requirement are reduced compared to those of the conventional method. Finally, we show that the detection performance of the proposed detector is superior to that of the conventional detector in a background of Additive White Gaussian Noise (AWGN).
- Publication
- IEICE TRANSACTIONS on Communications Vol.E97-B No.1 pp.210-217
- Publication Date
- 2014/01/01
- Publicized
- Online ISSN
- 1745-1345
- DOI
- 10.1587/transcom.E97.B.210
- Type of Manuscript
- PAPER
- Category
- Sensing
Authors
Purushothaman SURENDRAN
Jeju National University
Jong-Hun LEE
Daegu Geongbuk Institute of Science and Technology
Seok-Jun KO
Jeju National University
Keyword
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Purushothaman SURENDRAN, Jong-Hun LEE, Seok-Jun KO, "A Novel UWB SRR for Target Velocity Measurement in Gaussian Noise Environment for Automobile Applications" in IEICE TRANSACTIONS on Communications,
vol. E97-B, no. 1, pp. 210-217, January 2014, doi: 10.1587/transcom.E97.B.210.
Abstract: In this paper, we propose a time and memory efficient Ultra Wide Band Short Range Radar (UWB SRR) system for measuring relative target velocities of up to 150km/hr. First, for the proposed detector, we select the required design parameters for good performance. The parameters are the number of coherent integrations, non-coherent integrations, and FFT points. The conventional detector uses a Fast Fourier Transform (FFT) to extract the range and velocity of the target simultaneously. Therefore, it requires high computation effort, high FFT processing time, and a huge amount of memory. However, the proposed pulse radar detector first decides the target range and then computes the target velocity using FFT sequentially for the decided range index. According to our theoretical and simulation analyses, the FFT processing time and the memory requirement are reduced compared to those of the conventional method. Finally, we show that the detection performance of the proposed detector is superior to that of the conventional detector in a background of Additive White Gaussian Noise (AWGN).
URL: https://global.ieice.org/en_transactions/communications/10.1587/transcom.E97.B.210/_p
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@ARTICLE{e97-b_1_210,
author={Purushothaman SURENDRAN, Jong-Hun LEE, Seok-Jun KO, },
journal={IEICE TRANSACTIONS on Communications},
title={A Novel UWB SRR for Target Velocity Measurement in Gaussian Noise Environment for Automobile Applications},
year={2014},
volume={E97-B},
number={1},
pages={210-217},
abstract={In this paper, we propose a time and memory efficient Ultra Wide Band Short Range Radar (UWB SRR) system for measuring relative target velocities of up to 150km/hr. First, for the proposed detector, we select the required design parameters for good performance. The parameters are the number of coherent integrations, non-coherent integrations, and FFT points. The conventional detector uses a Fast Fourier Transform (FFT) to extract the range and velocity of the target simultaneously. Therefore, it requires high computation effort, high FFT processing time, and a huge amount of memory. However, the proposed pulse radar detector first decides the target range and then computes the target velocity using FFT sequentially for the decided range index. According to our theoretical and simulation analyses, the FFT processing time and the memory requirement are reduced compared to those of the conventional method. Finally, we show that the detection performance of the proposed detector is superior to that of the conventional detector in a background of Additive White Gaussian Noise (AWGN).},
keywords={},
doi={10.1587/transcom.E97.B.210},
ISSN={1745-1345},
month={January},}
Copy
TY - JOUR
TI - A Novel UWB SRR for Target Velocity Measurement in Gaussian Noise Environment for Automobile Applications
T2 - IEICE TRANSACTIONS on Communications
SP - 210
EP - 217
AU - Purushothaman SURENDRAN
AU - Jong-Hun LEE
AU - Seok-Jun KO
PY - 2014
DO - 10.1587/transcom.E97.B.210
JO - IEICE TRANSACTIONS on Communications
SN - 1745-1345
VL - E97-B
IS - 1
JA - IEICE TRANSACTIONS on Communications
Y1 - January 2014
AB - In this paper, we propose a time and memory efficient Ultra Wide Band Short Range Radar (UWB SRR) system for measuring relative target velocities of up to 150km/hr. First, for the proposed detector, we select the required design parameters for good performance. The parameters are the number of coherent integrations, non-coherent integrations, and FFT points. The conventional detector uses a Fast Fourier Transform (FFT) to extract the range and velocity of the target simultaneously. Therefore, it requires high computation effort, high FFT processing time, and a huge amount of memory. However, the proposed pulse radar detector first decides the target range and then computes the target velocity using FFT sequentially for the decided range index. According to our theoretical and simulation analyses, the FFT processing time and the memory requirement are reduced compared to those of the conventional method. Finally, we show that the detection performance of the proposed detector is superior to that of the conventional detector in a background of Additive White Gaussian Noise (AWGN).
ER -
English
