IEICE TRANSACTIONS on Communications
Data Association and Localization of Multiple Radio Sources Using DOA and Received Signal Power by a Single Moving Passive Sensor
Summary :
Our goal is to use a single passive moving sensor to determine the locations of multiple radio stations. The conventional method uses only direction-of-arrival (DOA) measurements, and its performance is poor when emitters are located closely in the lateral direction, even if they are not close in the range direction, or in the far field from the moving sensor, resulting in similar DOAs for several emitters. This paper proposes a new method that uses the power of the received signals as well as DOA. The received signal power is a function of the inverse of the squared distance between an emitter and the moving sensor. This has the advantage of providing additional information in the range direction; therefore, it can be used for data association as additional information when emitter ranges are different from each other. Simulations showed that the success rate of the conventional method is 73%, whereas that of the proposed method is 97%, an overall 24-percentage-point improvement. The localization error of the proposed method is also reduced to half that of the conventional method. We further investigated its performance with different emitter and sensor configurations. In all cases, the proposed method proved superior to the conventional method.
- Publication
- IEICE TRANSACTIONS on Communications Vol.E101-B No.5 pp.1336-1345
- Publication Date
- 2018/05/01
- Publicized
- 2017/11/13
- Online ISSN
- 1745-1345
- DOI
- 10.1587/transcom.2016EBP3481
- Type of Manuscript
- PAPER
- Category
- Sensing
Authors
Takeshi AMISHIMA
Mitsubishi Electric Corporation
Toshio WAKAYAMA
Mitsubishi Electric Corporation
Keyword
Latest Issue
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Takeshi AMISHIMA, Toshio WAKAYAMA, "Data Association and Localization of Multiple Radio Sources Using DOA and Received Signal Power by a Single Moving Passive Sensor" in IEICE TRANSACTIONS on Communications,
vol. E101-B, no. 5, pp. 1336-1345, May 2018, doi: 10.1587/transcom.2016EBP3481.
Abstract: Our goal is to use a single passive moving sensor to determine the locations of multiple radio stations. The conventional method uses only direction-of-arrival (DOA) measurements, and its performance is poor when emitters are located closely in the lateral direction, even if they are not close in the range direction, or in the far field from the moving sensor, resulting in similar DOAs for several emitters. This paper proposes a new method that uses the power of the received signals as well as DOA. The received signal power is a function of the inverse of the squared distance between an emitter and the moving sensor. This has the advantage of providing additional information in the range direction; therefore, it can be used for data association as additional information when emitter ranges are different from each other. Simulations showed that the success rate of the conventional method is 73%, whereas that of the proposed method is 97%, an overall 24-percentage-point improvement. The localization error of the proposed method is also reduced to half that of the conventional method. We further investigated its performance with different emitter and sensor configurations. In all cases, the proposed method proved superior to the conventional method.
URL: https://global.ieice.org/en_transactions/communications/10.1587/transcom.2016EBP3481/_p
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@ARTICLE{e101-b_5_1336,
author={Takeshi AMISHIMA, Toshio WAKAYAMA, },
journal={IEICE TRANSACTIONS on Communications},
title={Data Association and Localization of Multiple Radio Sources Using DOA and Received Signal Power by a Single Moving Passive Sensor},
year={2018},
volume={E101-B},
number={5},
pages={1336-1345},
abstract={Our goal is to use a single passive moving sensor to determine the locations of multiple radio stations. The conventional method uses only direction-of-arrival (DOA) measurements, and its performance is poor when emitters are located closely in the lateral direction, even if they are not close in the range direction, or in the far field from the moving sensor, resulting in similar DOAs for several emitters. This paper proposes a new method that uses the power of the received signals as well as DOA. The received signal power is a function of the inverse of the squared distance between an emitter and the moving sensor. This has the advantage of providing additional information in the range direction; therefore, it can be used for data association as additional information when emitter ranges are different from each other. Simulations showed that the success rate of the conventional method is 73%, whereas that of the proposed method is 97%, an overall 24-percentage-point improvement. The localization error of the proposed method is also reduced to half that of the conventional method. We further investigated its performance with different emitter and sensor configurations. In all cases, the proposed method proved superior to the conventional method.},
keywords={},
doi={10.1587/transcom.2016EBP3481},
ISSN={1745-1345},
month={May},}
Copy
TY - JOUR
TI - Data Association and Localization of Multiple Radio Sources Using DOA and Received Signal Power by a Single Moving Passive Sensor
T2 - IEICE TRANSACTIONS on Communications
SP - 1336
EP - 1345
AU - Takeshi AMISHIMA
AU - Toshio WAKAYAMA
PY - 2018
DO - 10.1587/transcom.2016EBP3481
JO - IEICE TRANSACTIONS on Communications
SN - 1745-1345
VL - E101-B
IS - 5
JA - IEICE TRANSACTIONS on Communications
Y1 - May 2018
AB - Our goal is to use a single passive moving sensor to determine the locations of multiple radio stations. The conventional method uses only direction-of-arrival (DOA) measurements, and its performance is poor when emitters are located closely in the lateral direction, even if they are not close in the range direction, or in the far field from the moving sensor, resulting in similar DOAs for several emitters. This paper proposes a new method that uses the power of the received signals as well as DOA. The received signal power is a function of the inverse of the squared distance between an emitter and the moving sensor. This has the advantage of providing additional information in the range direction; therefore, it can be used for data association as additional information when emitter ranges are different from each other. Simulations showed that the success rate of the conventional method is 73%, whereas that of the proposed method is 97%, an overall 24-percentage-point improvement. The localization error of the proposed method is also reduced to half that of the conventional method. We further investigated its performance with different emitter and sensor configurations. In all cases, the proposed method proved superior to the conventional method.
ER -
English
