IEICE TRANSACTIONS on Fundamentals
Target Position Estimation Algorithm under Corrupted Measurement Data for Radar Network Systems
Summary :
Radar networks show an interesting potential for safety and comfortable applications such as short-range automotive monitoring system or indoor monitoring. This paper presents our novel estimation algorithm of a target position. Especially we evaluate the performance about estimation accuracy and resistance to ghost targets under multipath environment. In above applications, the robust estimation is needed because the receivers tend to output corrupted measurement data. The corrupted data are mostly generated by multipath, sensitivity of receivers. As a result of computer simulations, our algorithm has fine accuracy and robust detections compared with a popular trilateration algorithm.
- Publication
- IEICE TRANSACTIONS on Fundamentals Vol.E95-A No.1 pp.317-321
- Publication Date
- 2012/01/01
- Publicized
- Online ISSN
- 1745-1337
- DOI
- 10.1587/transfun.E95.A.317
- Type of Manuscript
- Special Section LETTER (Special Section on Intelligent Transport Systems)
- Category
- ITS
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Hiroyuki HATANO, Tomoharu MIZUTANI, Kazuya SUGIYAMA, Yoshihiko KUWAHARA, "Target Position Estimation Algorithm under Corrupted Measurement Data for Radar Network Systems" in IEICE TRANSACTIONS on Fundamentals,
vol. E95-A, no. 1, pp. 317-321, January 2012, doi: 10.1587/transfun.E95.A.317.
Abstract: Radar networks show an interesting potential for safety and comfortable applications such as short-range automotive monitoring system or indoor monitoring. This paper presents our novel estimation algorithm of a target position. Especially we evaluate the performance about estimation accuracy and resistance to ghost targets under multipath environment. In above applications, the robust estimation is needed because the receivers tend to output corrupted measurement data. The corrupted data are mostly generated by multipath, sensitivity of receivers. As a result of computer simulations, our algorithm has fine accuracy and robust detections compared with a popular trilateration algorithm.
URL: https://global.ieice.org/en_transactions/fundamentals/10.1587/transfun.E95.A.317/_p
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@ARTICLE{e95-a_1_317,
author={Hiroyuki HATANO, Tomoharu MIZUTANI, Kazuya SUGIYAMA, Yoshihiko KUWAHARA, },
journal={IEICE TRANSACTIONS on Fundamentals},
title={Target Position Estimation Algorithm under Corrupted Measurement Data for Radar Network Systems},
year={2012},
volume={E95-A},
number={1},
pages={317-321},
abstract={Radar networks show an interesting potential for safety and comfortable applications such as short-range automotive monitoring system or indoor monitoring. This paper presents our novel estimation algorithm of a target position. Especially we evaluate the performance about estimation accuracy and resistance to ghost targets under multipath environment. In above applications, the robust estimation is needed because the receivers tend to output corrupted measurement data. The corrupted data are mostly generated by multipath, sensitivity of receivers. As a result of computer simulations, our algorithm has fine accuracy and robust detections compared with a popular trilateration algorithm.},
keywords={},
doi={10.1587/transfun.E95.A.317},
ISSN={1745-1337},
month={January},}
Copy
TY - JOUR
TI - Target Position Estimation Algorithm under Corrupted Measurement Data for Radar Network Systems
T2 - IEICE TRANSACTIONS on Fundamentals
SP - 317
EP - 321
AU - Hiroyuki HATANO
AU - Tomoharu MIZUTANI
AU - Kazuya SUGIYAMA
AU - Yoshihiko KUWAHARA
PY - 2012
DO - 10.1587/transfun.E95.A.317
JO - IEICE TRANSACTIONS on Fundamentals
SN - 1745-1337
VL - E95-A
IS - 1
JA - IEICE TRANSACTIONS on Fundamentals
Y1 - January 2012
AB - Radar networks show an interesting potential for safety and comfortable applications such as short-range automotive monitoring system or indoor monitoring. This paper presents our novel estimation algorithm of a target position. Especially we evaluate the performance about estimation accuracy and resistance to ghost targets under multipath environment. In above applications, the robust estimation is needed because the receivers tend to output corrupted measurement data. The corrupted data are mostly generated by multipath, sensitivity of receivers. As a result of computer simulations, our algorithm has fine accuracy and robust detections compared with a popular trilateration algorithm.
ER -
English
