IEICE TRANSACTIONS on Fundamentals
Emitter Tracking via Direct Target Motion Analysis
Summary :
This paper considers tracking of a non-cooperative emitter based on a single sensor. To this end, the direct target motion analysis (DTMA) approach, where the target state is straightforwardly achieved from the received signal, is exploited. In order to achieve observability, the sensor has to perform a maneuver relative to the emitter. By suitably building an approximated likelihood function, the unscented Kalman filter (UKF), which is able to work under high nonlinearity of the measurement model, is adopted to recursively estimate the target state. Besides, the posterior Cramér-Rao bound (PCRB) of DTMA, which can be used as performance benchmark, is also achieved. The effectiveness of proposed method is verified via simulation experiments.
- Publication
- IEICE TRANSACTIONS on Fundamentals Vol.E105-A No.12 pp.1522-1536
- Publication Date
- 2022/12/01
- Publicized
- 2022/06/08
- Online ISSN
- 1745-1337
- DOI
- 10.1587/transfun.2021EAP1155
- Type of Manuscript
- PAPER
- Category
- Digital Signal Processing
Authors
Yiqi CHEN
University of Electronic Science and Technology of China
Ping WEI
University of Electronic Science and Technology of China
Gaiyou LI
University of Electronic Science and Technology of China
Huaguo ZHANG
University of Electronic Science and Technology of China
Hongshu LIAO
University of Electronic Science and Technology of China
Keyword
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Yiqi CHEN, Ping WEI, Gaiyou LI, Huaguo ZHANG, Hongshu LIAO, "Emitter Tracking via Direct Target Motion Analysis" in IEICE TRANSACTIONS on Fundamentals,
vol. E105-A, no. 12, pp. 1522-1536, December 2022, doi: 10.1587/transfun.2021EAP1155.
Abstract: This paper considers tracking of a non-cooperative emitter based on a single sensor. To this end, the direct target motion analysis (DTMA) approach, where the target state is straightforwardly achieved from the received signal, is exploited. In order to achieve observability, the sensor has to perform a maneuver relative to the emitter. By suitably building an approximated likelihood function, the unscented Kalman filter (UKF), which is able to work under high nonlinearity of the measurement model, is adopted to recursively estimate the target state. Besides, the posterior Cramér-Rao bound (PCRB) of DTMA, which can be used as performance benchmark, is also achieved. The effectiveness of proposed method is verified via simulation experiments.
URL: https://global.ieice.org/en_transactions/fundamentals/10.1587/transfun.2021EAP1155/_p
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@ARTICLE{e105-a_12_1522,
author={Yiqi CHEN, Ping WEI, Gaiyou LI, Huaguo ZHANG, Hongshu LIAO, },
journal={IEICE TRANSACTIONS on Fundamentals},
title={Emitter Tracking via Direct Target Motion Analysis},
year={2022},
volume={E105-A},
number={12},
pages={1522-1536},
abstract={This paper considers tracking of a non-cooperative emitter based on a single sensor. To this end, the direct target motion analysis (DTMA) approach, where the target state is straightforwardly achieved from the received signal, is exploited. In order to achieve observability, the sensor has to perform a maneuver relative to the emitter. By suitably building an approximated likelihood function, the unscented Kalman filter (UKF), which is able to work under high nonlinearity of the measurement model, is adopted to recursively estimate the target state. Besides, the posterior Cramér-Rao bound (PCRB) of DTMA, which can be used as performance benchmark, is also achieved. The effectiveness of proposed method is verified via simulation experiments.},
keywords={},
doi={10.1587/transfun.2021EAP1155},
ISSN={1745-1337},
month={December},}
Copy
TY - JOUR
TI - Emitter Tracking via Direct Target Motion Analysis
T2 - IEICE TRANSACTIONS on Fundamentals
SP - 1522
EP - 1536
AU - Yiqi CHEN
AU - Ping WEI
AU - Gaiyou LI
AU - Huaguo ZHANG
AU - Hongshu LIAO
PY - 2022
DO - 10.1587/transfun.2021EAP1155
JO - IEICE TRANSACTIONS on Fundamentals
SN - 1745-1337
VL - E105-A
IS - 12
JA - IEICE TRANSACTIONS on Fundamentals
Y1 - December 2022
AB - This paper considers tracking of a non-cooperative emitter based on a single sensor. To this end, the direct target motion analysis (DTMA) approach, where the target state is straightforwardly achieved from the received signal, is exploited. In order to achieve observability, the sensor has to perform a maneuver relative to the emitter. By suitably building an approximated likelihood function, the unscented Kalman filter (UKF), which is able to work under high nonlinearity of the measurement model, is adopted to recursively estimate the target state. Besides, the posterior Cramér-Rao bound (PCRB) of DTMA, which can be used as performance benchmark, is also achieved. The effectiveness of proposed method is verified via simulation experiments.
ER -
English
